Instructions to use hussenmi/fungpt-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hussenmi/fungpt-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.2-GPTQ") model = PeftModel.from_pretrained(base_model, "hussenmi/fungpt-ft") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from hussenmi/fungpt-ft: direct link, hf CLI and curl.
- Browser
- Download file 8.4 MB
-
https://huggingface.co/hussenmi/fungpt-ft/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://hussenmi/fungpt-ft/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/hussenmi/fungpt-ft/resolve/main/adapter_model.safetensors
8.4 MB
- Xet hash:
- 9daf10039e63ad272d669b04d1d01ae822567354857f2e0ec7847f54d182291f
- Size of remote file:
- 8.4 MB
- SHA256:
- f8dc76e6a258dcce4b2c909db79752a91ee604fc202b7e43db15fdc83c446dbd
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