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 tokenizer.json from TheStrangerOne/FIC-SENCE-Gemma-LORA: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/TheStrangerOne/FIC-SENCE-Gemma-LORA/resolve/main/tokenizer.json
- Command line
-
hf download hf://TheStrangerOne/FIC-SENCE-Gemma-LORA/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/TheStrangerOne/FIC-SENCE-Gemma-LORA/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 6489c115f71dfd6ca3866d28e8eb0594397d35653bc2a55a59a3eafa2e656dd1
- Size of remote file:
- 34.4 MB
- SHA256:
- 1d4e5a005cae977c51095b844d329ee847fe86193d4bd85ed3e878d96d085293
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.