Instructions to use dtorber/BioNLP-tech_ner-PLOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dtorber/BioNLP-tech_ner-PLOS with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dtorber/BioNLP-tech_ner-PLOS") model = AutoModelForSeq2SeqLM.from_pretrained("dtorber/BioNLP-tech_ner-PLOS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dtorber/BioNLP-tech_ner-PLOS: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/dtorber/BioNLP-tech_ner-PLOS/resolve/main/training_args.bin
- Command line
-
hf download hf://dtorber/BioNLP-tech_ner-PLOS/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dtorber/BioNLP-tech_ner-PLOS/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- ca345d4085f9e8142462682fb191f680b4e7a5bfc80aca137ffa9e1401a4244a
- Size of remote file:
- 5.11 kB
- SHA256:
- ebca8c1cf34ff4155d9ce2ed5a79461518129e0d0c323e79a74ba4738363e3be
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