Instructions to use baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3/resolve/4ade442e5c6282090b91266ce1c546e9161ea80d/tokenizer.json
- Command line
-
hf download hf://baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3@4ade442e5c6282090b91266ce1c546e9161ea80d/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3/resolve/4ade442e5c6282090b91266ce1c546e9161ea80d/tokenizer.json
3.51 MB
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