Instructions to use SeprotHub/Model-RASH-ProTrek-35M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SeprotHub/Model-RASH-ProTrek-35M 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, "SeprotHub/Model-RASH-ProTrek-35M") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from SeprotHub/Model-RASH-ProTrek-35M: direct link, hf CLI and curl.
- Browser
- Download file 4.26 MB
-
https://huggingface.co/SeprotHub/Model-RASH-ProTrek-35M/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://SeprotHub/Model-RASH-ProTrek-35M/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/SeprotHub/Model-RASH-ProTrek-35M/resolve/main/adapter_model.safetensors
4.26 MB
- Xet hash:
- 152cab9ef68fb70e586afa9513a988a3c47df7ace91ce0c1ddf7ef2381ac020d
- Size of remote file:
- 4.26 MB
- SHA256:
- c14bbc9b3b0be897cfd507feab3aaba9808831594a64c02c5eec8b3454bdd5d9
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