Instructions to use dtorber/BioNLP-tech_ner_3_frases-eLife with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dtorber/BioNLP-tech_ner_3_frases-eLife with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dtorber/BioNLP-tech_ner_3_frases-eLife") model = AutoModelForSeq2SeqLM.from_pretrained("dtorber/BioNLP-tech_ner_3_frases-eLife", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dtorber/BioNLP-tech_ner_3_frases-eLife: direct link, hf CLI and curl.
- Browser
- Download file 4.35 kB
-
https://huggingface.co/dtorber/BioNLP-tech_ner_3_frases-eLife/resolve/main/training_args.bin
- Command line
-
hf download hf://dtorber/BioNLP-tech_ner_3_frases-eLife/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dtorber/BioNLP-tech_ner_3_frases-eLife/resolve/main/training_args.bin
4.35 kB
- Xet hash:
- eab4abf6c3da8d4c42a76cff00188e72709d7850417195b65f48ac28aa7ca8c5
- Size of remote file:
- 4.35 kB
- SHA256:
- 82ca77397905797919035c4686e03477ad4a814347f0d41c74a29957c0ee4c29
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