Instructions to use ghadeermobasher/Modified-BlueBERT-BioRED-Chem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Modified-BlueBERT-BioRED-Chem with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Modified-BlueBERT-BioRED-Chem")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Modified-BlueBERT-BioRED-Chem") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Modified-BlueBERT-BioRED-Chem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ghadeermobasher/Modified-BlueBERT-BioRED-Chem: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/ghadeermobasher/Modified-BlueBERT-BioRED-Chem/resolve/main/training_args.bin
- Command line
-
hf download hf://ghadeermobasher/Modified-BlueBERT-BioRED-Chem/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ghadeermobasher/Modified-BlueBERT-BioRED-Chem/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- 0ba840c0f56eb40f71f29eaff73d345c5bea75aba8eb26177358970e890fd74a
- Size of remote file:
- 2.86 kB
- SHA256:
- 992a29e7c61fdbb3ed7409941079804d01a0e8c20236be32cb56ce046d5cef30
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