Instructions to use dtorber/BioNLP-tech_ner_3_frases-PLOS 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-PLOS 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-PLOS") model = AutoModelForSeq2SeqLM.from_pretrained("dtorber/BioNLP-tech_ner_3_frases-PLOS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dtorber/BioNLP-tech_ner_3_frases-PLOS: direct link, hf CLI and curl.
- Browser
- Download file 4.35 kB
-
https://huggingface.co/dtorber/BioNLP-tech_ner_3_frases-PLOS/resolve/main/training_args.bin
- Command line
-
hf download hf://dtorber/BioNLP-tech_ner_3_frases-PLOS/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dtorber/BioNLP-tech_ner_3_frases-PLOS/resolve/main/training_args.bin
4.35 kB
- Xet hash:
- 65f5cf3a7dda51ce57d05e31c5bd6fa2d3536ae70ced335c00c0e6d66a005e53
- Size of remote file:
- 4.35 kB
- SHA256:
- 27cb2028b79a26903a35afa9a181a4b36eff0f8db42a6bfc924fb83559cbf833
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