Instructions to use error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("berkeley-nest/Starling-LM-7B-alpha") model = PeftModel.from_pretrained(base_model, "error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df/resolve/main/tokenizer.json
- Command line
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hf download hf://error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df/resolve/main/tokenizer.json
3.51 MB
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