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:
- e75b3f394f0be3d3cc926db96f6b801d7027a5f1b5f7f7f4a546c6e78f81b0a0
- Size of remote file:
- 440 MB
- SHA256:
- d0f945f7711ac117eb6250f178886bc50758500944df348965e650c5312d0250
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