Instructions to use prxy5608/89a42b8f-9a84-4f18-81b6-9e8b3222f798 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/89a42b8f-9a84-4f18-81b6-9e8b3222f798 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5608/89a42b8f-9a84-4f18-81b6-9e8b3222f798") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5608/89a42b8f-9a84-4f18-81b6-9e8b3222f798: direct link, hf CLI and curl.
- Browser
- Download file 78.3 MB
-
https://huggingface.co/prxy5608/89a42b8f-9a84-4f18-81b6-9e8b3222f798/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5608/89a42b8f-9a84-4f18-81b6-9e8b3222f798/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5608/89a42b8f-9a84-4f18-81b6-9e8b3222f798/resolve/main/adapter_model.bin
78.3 MB
- Xet hash:
- 8ced020c72b9a4fdcd2c082647b9dafa04bef5771c1cd5423d8b3fc926b1c0c8
- Size of remote file:
- 78.3 MB
- SHA256:
- bafc4d03eb540873f2e8a8f044a88f8fa119f2660d7ddde0470e81de3fa10fb9
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