Instructions to use cilorku/d27ec5d2-bb38-461d-b584-23122f0f0613 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cilorku/d27ec5d2-bb38-461d-b584-23122f0f0613 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3") model = PeftModel.from_pretrained(base_model, "cilorku/d27ec5d2-bb38-461d-b584-23122f0f0613") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cilorku/d27ec5d2-bb38-461d-b584-23122f0f0613: direct link, hf CLI and curl.
- Browser
- Download file 3.67 MB
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https://huggingface.co/cilorku/d27ec5d2-bb38-461d-b584-23122f0f0613/resolve/main/tokenizer.json
- Command line
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hf download hf://cilorku/d27ec5d2-bb38-461d-b584-23122f0f0613/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/cilorku/d27ec5d2-bb38-461d-b584-23122f0f0613/resolve/main/tokenizer.json
3.67 MB
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