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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a312fb3f483b6a0c4ac758c81277875e54ea01732325eafbff4c42e0fcc1503
- Size of remote file:
- 648 MB
- SHA256:
- f6ee301c77ffdbc2b071411880d5d45446c137f3c1e01b94968c3faaf7956e6b
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