Instructions to use EhsanAghazadeh/roberta-base-random-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EhsanAghazadeh/roberta-base-random-weights with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="EhsanAghazadeh/roberta-base-random-weights")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("EhsanAghazadeh/roberta-base-random-weights") model = AutoModel.from_pretrained("EhsanAghazadeh/roberta-base-random-weights", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from EhsanAghazadeh/roberta-base-random-weights: direct link, hf CLI and curl.
- Browser
- Download file 239 Bytes
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https://huggingface.co/EhsanAghazadeh/roberta-base-random-weights/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://EhsanAghazadeh/roberta-base-random-weights/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/EhsanAghazadeh/roberta-base-random-weights/resolve/main/special_tokens_map.json
239 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}} |