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 model.safetensors from dtorber/BioNLP-tech_ner-PLOS: direct link, hf CLI and curl.
- Browser
- Download file 648 MB
-
https://huggingface.co/dtorber/BioNLP-tech_ner-PLOS/resolve/main/model.safetensors
- Command line
-
hf download hf://dtorber/BioNLP-tech_ner-PLOS/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/dtorber/BioNLP-tech_ner-PLOS/resolve/main/model.safetensors
648 MB
- Xet hash:
- bab702eee3a2189cfa5cc65e645723cec5c90863658350e5119bfa0a159a1d1c
- Size of remote file:
- 648 MB
- SHA256:
- 6b07ddb6ec4cb1a2586b6d94f0d588cb8ae7331b29d9881a27ce648a8c5ff3bd
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