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
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (dcc2ffb8b71bd3585331508e102454185c6ea17d)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0f945f7711ac117eb6250f178886bc50758500944df348965e650c5312d0250
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size 439869160
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