Instructions to use LeCastre/DistilBert-pMHC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeCastre/DistilBert-pMHC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LeCastre/DistilBert-pMHC")# Load model directly from transformers import AutoTokenizer, BertRnnDist tokenizer = AutoTokenizer.from_pretrained("LeCastre/DistilBert-pMHC") model = BertRnnDist.from_pretrained("LeCastre/DistilBert-pMHC") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bbe2c76cf080d794fd0b61f97c2f23bf3de5713304c292d042b390fdbd67233d
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size 362320336
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