Instructions to use microsoft/trocr-large-printed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-large-printed with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="microsoft/trocr-large-printed")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-large-printed") model = AutoModelForMultimodalLM.from_pretrained("microsoft/trocr-large-printed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding ONNX file of this model
Browse filesBeep boop I am the [ONNX export bot 🤖🏎️](https://huggingface.co/spaces/onnx/export). On behalf of [ev4shin](https://huggingface.co/ev4shin), I would like to add to this repository the model converted to ONNX.
What is ONNX? It stands for "Open Neural Network Exchange", and is the most commonly used open standard for machine learning interoperability. You can find out more at [onnx.ai](https://onnx.ai/)!
The exported ONNX model can be then be consumed by various backends as TensorRT or TVM, or simply be used in a few lines with 🤗 Optimum through ONNX Runtime, check out how [here](https://huggingface.co/docs/optimum/main/en/onnxruntime/usage_guides/models)!
- README.md +1 -0
- onnx/config.json +57 -0
- onnx/decoder_model.onnx +3 -0
- onnx/decoder_model_merged.onnx +3 -0
- onnx/decoder_with_past_model.onnx +3 -0
- onnx/encoder_model.onnx +3 -0
- onnx/generation_config.json +9 -0
- onnx/merges.txt +0 -0
- onnx/preprocessor_config.json +23 -0
- onnx/special_tokens_map.json +51 -0
- onnx/tokenizer.json +0 -0
- onnx/tokenizer_config.json +58 -0
- onnx/vocab.json +0 -0
README.md
CHANGED
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tags:
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- trocr
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- image-to-text
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widget:
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- src: https://layoutlm.blob.core.windows.net/trocr/dataset/SROIE2019Task2Crop/train/X00016469612_1.jpg
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example_title: Printed 1
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tags:
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- trocr
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- image-to-text
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+
- onnx
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widget:
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- src: https://layoutlm.blob.core.windows.net/trocr/dataset/SROIE2019Task2Crop/train/X00016469612_1.jpg
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example_title: Printed 1
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onnx/config.json
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{
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"_attn_implementation_autoset": true,
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"architectures": [
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"VisionEncoderDecoderModel"
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],
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"decoder": {
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| 7 |
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"activation_dropout": 0.0,
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"activation_function": "relu",
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| 9 |
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"add_cross_attention": true,
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"attention_dropout": 0.0,
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| 11 |
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"classifier_dropout": 0.0,
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| 12 |
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"cross_attention_hidden_size": 1024,
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"d_model": 1024,
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| 14 |
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"decoder_attention_heads": 16,
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| 15 |
+
"decoder_ffn_dim": 4096,
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| 16 |
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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| 18 |
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"dropout": 0.1,
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"init_std": 0.02,
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"is_decoder": true,
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"layernorm_embedding": false,
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| 22 |
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"max_position_embeddings": 1024,
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"model_type": "trocr",
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| 24 |
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"scale_embedding": true,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"use_cache": false,
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"use_learned_position_embeddings": false,
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| 29 |
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"vocab_size": 50265
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},
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| 31 |
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"encoder": {
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| 32 |
+
"attention_probs_dropout_prob": 0.0,
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| 33 |
+
"encoder_stride": 16,
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| 34 |
+
"hidden_act": "gelu",
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| 35 |
+
"hidden_dropout_prob": 0.0,
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| 36 |
+
"hidden_size": 1024,
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| 37 |
+
"image_size": 384,
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| 38 |
+
"initializer_range": 0.02,
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| 39 |
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"intermediate_size": 4096,
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| 40 |
+
"layer_norm_eps": 1e-12,
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| 41 |
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"model_type": "vit",
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| 42 |
+
"num_attention_heads": 16,
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| 43 |
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"num_channels": 3,
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| 44 |
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"num_hidden_layers": 24,
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| 45 |
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"patch_size": 16,
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| 46 |
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"pooler_act": "tanh",
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| 47 |
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"pooler_output_size": 1024,
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| 48 |
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"qkv_bias": false,
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| 49 |
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"torch_dtype": "float32"
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| 50 |
+
},
|
| 51 |
+
"is_encoder_decoder": true,
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| 52 |
+
"model_type": "vision-encoder-decoder",
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| 53 |
+
"tie_word_embeddings": false,
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| 54 |
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"torch_dtype": "float32",
|
| 55 |
+
"transformers_version": "4.51.3",
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| 56 |
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"use_cache": true
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| 57 |
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}
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onnx/decoder_model.onnx
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:27b7969faf75b99dd3db7795b23b7043631ce67edfe9b18a1910b8fdb1182462
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size 1222783809
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onnx/decoder_model_merged.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:12a23d941e19bf5b492f19550ad0bd36718eadf94bd1a13c3e536ed0134ac1fd
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size 1227465953
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onnx/decoder_with_past_model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:f2b876483c29d98cf7161fd526eca7880f6c232cc40ef0c7677b49f34601768f
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| 3 |
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size 1121928552
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onnx/encoder_model.onnx
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:e12c781710d03a1eb3735c174067570d99623fa6e1505f578df02995bcf74763
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| 3 |
+
size 1214965907
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onnx/generation_config.json
ADDED
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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| 4 |
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"decoder_start_token_id": 2,
|
| 5 |
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"eos_token_id": 2,
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| 6 |
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"pad_token_id": 1,
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| 7 |
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"transformers_version": "4.51.3",
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"use_cache": false
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}
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onnx/merges.txt
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onnx/preprocessor_config.json
ADDED
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{
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"do_convert_rgb": null,
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"do_normalize": true,
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| 4 |
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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| 8 |
+
0.5,
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0.5
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| 10 |
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],
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| 11 |
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"image_processor_type": "ViTImageProcessor",
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| 12 |
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"image_std": [
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| 13 |
+
0.5,
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| 14 |
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0.5,
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| 15 |
+
0.5
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| 16 |
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| 17 |
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"resample": 2,
|
| 18 |
+
"rescale_factor": 0.00392156862745098,
|
| 19 |
+
"size": {
|
| 20 |
+
"height": 384,
|
| 21 |
+
"width": 384
|
| 22 |
+
}
|
| 23 |
+
}
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onnx/special_tokens_map.json
ADDED
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+
{
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| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": true,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "</s>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": true,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "<unk>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": true,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
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}
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onnx/tokenizer.json
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onnx/tokenizer_config.json
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| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<s>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<pad>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "</s>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": true,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<unk>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"50264": {
|
| 37 |
+
"content": "<mask>",
|
| 38 |
+
"lstrip": true,
|
| 39 |
+
"normalized": true,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"bos_token": "<s>",
|
| 46 |
+
"clean_up_tokenization_spaces": false,
|
| 47 |
+
"cls_token": "<s>",
|
| 48 |
+
"eos_token": "</s>",
|
| 49 |
+
"errors": "replace",
|
| 50 |
+
"extra_special_tokens": {},
|
| 51 |
+
"mask_token": "<mask>",
|
| 52 |
+
"model_max_length": 512,
|
| 53 |
+
"pad_token": "<pad>",
|
| 54 |
+
"sep_token": "</s>",
|
| 55 |
+
"tokenizer_class": "RobertaTokenizer",
|
| 56 |
+
"trim_offsets": true,
|
| 57 |
+
"unk_token": "<unk>"
|
| 58 |
+
}
|
onnx/vocab.json
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