Instructions to use Vineeshsuiii/FineTuned-model-ed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vineeshsuiii/FineTuned-model-ed with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "Vineeshsuiii/FineTuned-model-ed") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Vineeshsuiii/FineTuned-model-ed: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Vineeshsuiii/FineTuned-model-ed/resolve/main/tokenizer.json
- Command line
-
hf download hf://Vineeshsuiii/FineTuned-model-ed/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Vineeshsuiii/FineTuned-model-ed/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 558ba29470170fa79d5665fffd490fd217da06ac3719b37b9571ecbff800e14e
- Size of remote file:
- 17.2 MB
- SHA256:
- c7f1a062c11e8514a02fab154e8b1ffd855982309d97063b5b1b92643f6281ac
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