Instructions to use ericzhang1122/demo_cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ericzhang1122/demo_cls with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("ProTrekHub/Protein_Encoder_35M") model = PeftModel.from_pretrained(base_model, "ericzhang1122/demo_cls") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33aca174d9389b67a932ed6f2b5ffe2b185a4de27a5469d898e51dc325920a8d
- Size of remote file:
- 3.96 MB
- SHA256:
- bfb7099b5b7cee0f589dc9d4818713a37a623b944769f9c02fec3ebdefafd6a4
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