Instructions to use bioformers/bioformer-8L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bioformers/bioformer-8L with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bioformers/bioformer-8L")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bioformers/bioformer-8L") model = AutoModelForMaskedLM.from_pretrained("bioformers/bioformer-8L", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c005512a91e6b92e13b4b3d4432e1120ab86441a85d226c4a0ce69bad7b29af
- Size of remote file:
- 171 MB
- SHA256:
- 9c7a0bc1d0cccc89d92b1295c4b5131f54f6f1929dc6024fe70def6e58670a69
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