Instructions to use ghadeermobasher/BioRED-Dis-WLT-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/BioRED-Dis-WLT-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BioRED-Dis-WLT-384")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BioRED-Dis-WLT-384") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BioRED-Dis-WLT-384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ghadeermobasher/BioRED-Dis-WLT-384: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/ghadeermobasher/BioRED-Dis-WLT-384/resolve/main/training_args.bin
- Command line
-
hf download hf://ghadeermobasher/BioRED-Dis-WLT-384/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ghadeermobasher/BioRED-Dis-WLT-384/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- 038e130fa6b6cef5d64489ee0e18b3cc4ede65b7a0ab41a8ad1923df30d8c734
- Size of remote file:
- 2.86 kB
- SHA256:
- e5436e3a7cbfdac366d00fb9df471e5210831adebe2a93f5a0fe78babd9ef5c8
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