Instructions to use alvaroalon2/biobert_genetic_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alvaroalon2/biobert_genetic_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alvaroalon2/biobert_genetic_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alvaroalon2/biobert_genetic_ner") model = AutoModelForTokenClassification.from_pretrained("alvaroalon2/biobert_genetic_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from alvaroalon2/biobert_genetic_ner: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/alvaroalon2/biobert_genetic_ner/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://alvaroalon2/biobert_genetic_ner/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alvaroalon2/biobert_genetic_ner/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- d47354e4369a80a68f3ade631f0e8f07037bb5cfa6907a7512987049f0f15fcc
- Size of remote file:
- 431 MB
- SHA256:
- 6bab85f4ea1e573a3299dd35f8bb13e48dc09e97f5e7899f59ccf2c0b9dac3c0
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