Instructions to use bioformers/bioformer-8L-bc2gm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bioformers/bioformer-8L-bc2gm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bioformers/bioformer-8L-bc2gm")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bioformers/bioformer-8L-bc2gm") model = AutoModelForTokenClassification.from_pretrained("bioformers/bioformer-8L-bc2gm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e4678b858508d106f79fef3d8a76a0712b240925fd8aee05bb7cca76cb84bc4
- Size of remote file:
- 170 MB
- SHA256:
- 87249e08f69bc23498c09ac94788106523d2194e3a20367db8912414a113d47b
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