Instructions to use cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Xenova/tiny-random-Phi3ForCausalLM") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f: direct link, hf CLI and curl.
- Browser
- Download file 30.7 kB
-
https://huggingface.co/cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f/resolve/main/adapter_model.safetensors
30.7 kB
- Xet hash:
- e9839fca3741052ecfe218e3d0a00d510c083abff9af75c5e8d2a6b6c74e1db2
- Size of remote file:
- 30.7 kB
- SHA256:
- af181b21939d527e422f999bf155c11c163def112ae566b4ccd1e6b7d85eb76a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.