Instructions to use IVN-RIN/bioBIT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IVN-RIN/bioBIT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="IVN-RIN/bioBIT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("IVN-RIN/bioBIT") model = AutoModelForMaskedLM.from_pretrained("IVN-RIN/bioBIT") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e6ba4f63bb87b1d338d8bec91ae604791881b969b86c19359496740d86ab08f
- Size of remote file:
- 440 MB
- SHA256:
- 2efb0ed5d26d1eb85b1b102e8747c86648936c2f024e662c258d89859d308f24
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