Instructions to use ThuyNT03/SOMD-train-scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThuyNT03/SOMD-train-scibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ThuyNT03/SOMD-train-scibert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ThuyNT03/SOMD-train-scibert") model = AutoModelForTokenClassification.from_pretrained("ThuyNT03/SOMD-train-scibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ThuyNT03/SOMD-train-scibert: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/ThuyNT03/SOMD-train-scibert/resolve/main/tokenizer.json
- Command line
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hf download hf://ThuyNT03/SOMD-train-scibert/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ThuyNT03/SOMD-train-scibert/resolve/main/tokenizer.json
712 kB
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