Instructions to use beverlyjfu/DistilProtBert-finetuned-localization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beverlyjfu/DistilProtBert-finetuned-localization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="beverlyjfu/DistilProtBert-finetuned-localization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("beverlyjfu/DistilProtBert-finetuned-localization") model = AutoModelForSequenceClassification.from_pretrained("beverlyjfu/DistilProtBert-finetuned-localization") - 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 sha256:5a004950857d52ffe516d62e857cc23cb5094c4b121621013e9c3f3319d9abe1
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size 924304852
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