Instructions to use ghadeermobasher/CRAFT-Modified-BioBERT-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/CRAFT-Modified-BioBERT-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/CRAFT-Modified-BioBERT-384")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/CRAFT-Modified-BioBERT-384") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/CRAFT-Modified-BioBERT-384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ghadeermobasher/CRAFT-Modified-BioBERT-384: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ghadeermobasher/CRAFT-Modified-BioBERT-384/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/CRAFT-Modified-BioBERT-384/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/CRAFT-Modified-BioBERT-384/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- 06b12980f71d2c2219599d4e79106a7c6bc28460162d0a7885ba0163c346c700
- Size of remote file:
- 431 MB
- SHA256:
- 3c08eed56f6aca7393d53bdfd5338276802a0b780b78311894b5b42603543afa
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