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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f366109343330f72ef54e2854fbef401785bddb923c1eec04d2e42fb5ef37eba
- Size of remote file:
- 648 MB
- SHA256:
- e0263289209643129cfd487f51a367a393b1cc04047e14ae0c002988da1b6182
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