Instructions to use datlaaaaaaa/014c8a80-2628-4188-b6c0-59e062fa8c5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/014c8a80-2628-4188-b6c0-59e062fa8c5b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/GPT4-x-Vicuna-13b-fp16") model = PeftModel.from_pretrained(base_model, "datlaaaaaaa/014c8a80-2628-4188-b6c0-59e062fa8c5b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from datlaaaaaaa/014c8a80-2628-4188-b6c0-59e062fa8c5b: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/datlaaaaaaa/014c8a80-2628-4188-b6c0-59e062fa8c5b/resolve/main/tokenizer.json
- Command line
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hf download hf://datlaaaaaaa/014c8a80-2628-4188-b6c0-59e062fa8c5b/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/datlaaaaaaa/014c8a80-2628-4188-b6c0-59e062fa8c5b/resolve/main/tokenizer.json
3.62 MB
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