Instructions to use dada22231/1a9fd1cb-c80e-4653-a3ef-2225f77125b7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/1a9fd1cb-c80e-4653-a3ef-2225f77125b7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dltjdgh0928/test_instruction") model = PeftModel.from_pretrained(base_model, "dada22231/1a9fd1cb-c80e-4653-a3ef-2225f77125b7") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dada22231/1a9fd1cb-c80e-4653-a3ef-2225f77125b7: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/dada22231/1a9fd1cb-c80e-4653-a3ef-2225f77125b7/resolve/main/tokenizer.json
- Command line
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hf download hf://dada22231/1a9fd1cb-c80e-4653-a3ef-2225f77125b7/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dada22231/1a9fd1cb-c80e-4653-a3ef-2225f77125b7/resolve/main/tokenizer.json
3.51 MB
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