Instructions to use majdabd33/biobert-v1.2_biomedical_multiner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use majdabd33/biobert-v1.2_biomedical_multiner with Transformers:
# Load model directly from transformers import AutoTokenizer, BERTMultiNER2 tokenizer = AutoTokenizer.from_pretrained("majdabd33/biobert-v1.2_biomedical_multiner") model = BERTMultiNER2.from_pretrained("majdabd33/biobert-v1.2_biomedical_multiner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e0da2d927cfc1c115171119de8022c62e8986381bf659f3c3a747ccd079748d
- Size of remote file:
- 4.6 kB
- SHA256:
- 72d4cc531037761a642135597f926f7cded0ca37c118038d4b8578d155986890
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