Instructions to use ghadeermobasher/BioNLP13-Modified-BlueBERT-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/BioNLP13-Modified-BlueBERT-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BioNLP13-Modified-BlueBERT-512")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BioNLP13-Modified-BlueBERT-512") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BioNLP13-Modified-BlueBERT-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ghadeermobasher/BioNLP13-Modified-BlueBERT-512: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/ghadeermobasher/BioNLP13-Modified-BlueBERT-512/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/BioNLP13-Modified-BlueBERT-512/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/BioNLP13-Modified-BlueBERT-512/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- 7c69b2e9a6bb73b3c0d84a11f1e26365f6ca5a966813c2a8a02758040a28d40e
- Size of remote file:
- 436 MB
- SHA256:
- fd52202b7db7aa8b48f47bafca1a69c96dd6760efda0c6e3c273f5fa9397c2cd
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