Instructions to use Saurabh4509/cmodel_10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Saurabh4509/cmodel_10k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Saurabh4509/cmodel_10k") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Saurabh4509/cmodel_10k: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
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https://huggingface.co/Saurabh4509/cmodel_10k/resolve/main/tokenizer.json
- Command line
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hf download hf://Saurabh4509/cmodel_10k/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Saurabh4509/cmodel_10k/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.