Instructions to use beverlyjfu/ProtGPT2-finetuned-localization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beverlyjfu/ProtGPT2-finetuned-localization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="beverlyjfu/ProtGPT2-finetuned-localization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("beverlyjfu/ProtGPT2-finetuned-localization") model = AutoModelForSequenceClassification.from_pretrained("beverlyjfu/ProtGPT2-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:b96cab8dfdef6642133e01ae1d2f1fb00e072560ce7466e934c195fc25f83e20
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size 3133932672
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