Instructions to use antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d: direct link, hf CLI and curl.
- Browser
- Download file 332 MB
-
https://huggingface.co/antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d/resolve/main/adapter_model.bin
- Command line
-
hf download hf://antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d/resolve/main/adapter_model.bin
332 MB
- Xet hash:
- ef913adf32f70bb4d43fabc5a6193e66095af82f81d3d74774e4edcf47fe202f
- Size of remote file:
- 332 MB
- SHA256:
- 79875f583fe44d0d4911a6b797321c4c3050d2ae52ade4ab98999d889a86337f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.