Instructions to use ghadeermobasher/CRAFT-Modified-BioBERT-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/CRAFT-Modified-BioBERT-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/CRAFT-Modified-BioBERT-512")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/CRAFT-Modified-BioBERT-512") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/CRAFT-Modified-BioBERT-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ghadeermobasher/CRAFT-Modified-BioBERT-512: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ghadeermobasher/CRAFT-Modified-BioBERT-512/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/CRAFT-Modified-BioBERT-512/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/CRAFT-Modified-BioBERT-512/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- 3d1b7cbc082826f3711be03991d34ab2c92b242ef122f4c87da4ce77d13a5fdf
- Size of remote file:
- 431 MB
- SHA256:
- 48d35630132697942b5848111548d57cffc2c75be0164d49aa8b1678bc4815ac
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