Feature Extraction
Transformers
PyTorch
Safetensors
English
magi
Manga
Object Detection
OCR
Clustering
Diarisation
custom_code
Instructions to use ragavsachdeva/magi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ragavsachdeva/magi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ragavsachdeva/magi", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ragavsachdeva/magi", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
CHANGED
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@@ -247,7 +247,7 @@
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| 247 |
"disable_ocr": false,
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"model_type": "magi",
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"ocr_model_config": {
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-
"_name_or_path": "/
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"add_cross_attention": false,
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"architectures": [
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"VisionEncoderDecoderModel"
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"disable_ocr": false,
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| 248 |
"model_type": "magi",
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"ocr_model_config": {
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+
"_name_or_path": "microsoft/trocr-base-printed",
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"add_cross_attention": false,
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"architectures": [
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"VisionEncoderDecoderModel"
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