Instructions to use error577/a0abd2fc-0e9c-4a53-83bd-5435c4990984 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/a0abd2fc-0e9c-4a53-83bd-5435c4990984 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "error577/a0abd2fc-0e9c-4a53-83bd-5435c4990984") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from error577/a0abd2fc-0e9c-4a53-83bd-5435c4990984: direct link, hf CLI and curl.
- Browser
- Download file 777 kB
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https://huggingface.co/error577/a0abd2fc-0e9c-4a53-83bd-5435c4990984/resolve/main/vocab.json
- Command line
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hf download hf://error577/a0abd2fc-0e9c-4a53-83bd-5435c4990984/vocab.json
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curl -L -o vocab.json https://huggingface.co/error577/a0abd2fc-0e9c-4a53-83bd-5435c4990984/resolve/main/vocab.json
777 kB
File too large to display, you can check the raw version instead.