Instructions to use cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder-7b-2") model = PeftModel.from_pretrained(base_model, "cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511/resolve/main/last-checkpoint/tokenizer.json
- Command line
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hf download hf://cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511/last-checkpoint/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511/resolve/main/last-checkpoint/tokenizer.json
3.62 MB
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