Instructions to use dimasik2987/ee18d753-a67f-44fb-bd48-52c33d7962f4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik2987/ee18d753-a67f-44fb-bd48-52c33d7962f4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "dimasik2987/ee18d753-a67f-44fb-bd48-52c33d7962f4") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from dimasik2987/ee18d753-a67f-44fb-bd48-52c33d7962f4: direct link, hf CLI and curl.
- Browser
- Download file 13.6 MB
-
https://huggingface.co/dimasik2987/ee18d753-a67f-44fb-bd48-52c33d7962f4/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://dimasik2987/ee18d753-a67f-44fb-bd48-52c33d7962f4/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/dimasik2987/ee18d753-a67f-44fb-bd48-52c33d7962f4/resolve/main/last-checkpoint/adapter_model.safetensors
13.6 MB
- Xet hash:
- eab086d2a8d8e6f93c792da6621a36ecd5942b6bbb8fd28a5f3af2d05ee3891e
- Size of remote file:
- 13.6 MB
- SHA256:
- 0b3477f0dd3cf84c564be5a23423b739709a7468dde7c132f85af09880b005d1
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