Instructions to use tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd/resolve/main/tokenizer.json
- Command line
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hf download hf://tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/tripathiarpan20/tuning-84ba9757-9076-4822-ab9e-11135834d1dd/resolve/main/tokenizer.json
3.62 MB
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