Instructions to use TheStrangerOne/FIC-SENCE-Gemma-LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TheStrangerOne/FIC-SENCE-Gemma-LORA with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("unsloth/gemma-2-9b-it-bnb-4bit") model = PeftModel.from_pretrained(base_model, "TheStrangerOne/FIC-SENCE-Gemma-LORA") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from TheStrangerOne/FIC-SENCE-Gemma-LORA: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/TheStrangerOne/FIC-SENCE-Gemma-LORA/resolve/main/optimizer.pt
- Command line
-
hf download hf://TheStrangerOne/FIC-SENCE-Gemma-LORA/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/TheStrangerOne/FIC-SENCE-Gemma-LORA/resolve/main/optimizer.pt
440 MB
- Xet hash:
- 0f3973308c3914d8766ecc978b28b2f5f04336d2a4e75d84a59dfdf4972403eb
- Size of remote file:
- 440 MB
- SHA256:
- 9140b8c4101d502b3df187de63adea96f1cb7ab6006bf8af1d808468aa4f8559
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