Instructions to use ahmetca01/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahmetca01/model with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("openbmb/MiniCPM-2B-sft-bf16") model = PeftModel.from_pretrained(base_model, "ahmetca01/model") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from ahmetca01/model: direct link, hf CLI and curl.
- Browser
- Download file 54.7 MB
-
https://huggingface.co/ahmetca01/model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://ahmetca01/model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ahmetca01/model/resolve/main/adapter_model.safetensors
54.7 MB
- Xet hash:
- 0a4f48f17189811012e9cb1b0d4c2d6f51a6aa3c00832ce4f7b17a29476d7583
- Size of remote file:
- 54.7 MB
- SHA256:
- 234f69edeac321c9cc34b69b17a01b7182b823bf2adef7ecc2bea7e3b6b6932f
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