Instructions to use abaddon182/9db6cbba-2a7f-4aa3-98b7-fa898ca8f99a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abaddon182/9db6cbba-2a7f-4aa3-98b7-fa898ca8f99a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "abaddon182/9db6cbba-2a7f-4aa3-98b7-fa898ca8f99a") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from abaddon182/9db6cbba-2a7f-4aa3-98b7-fa898ca8f99a: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/abaddon182/9db6cbba-2a7f-4aa3-98b7-fa898ca8f99a/resolve/main/tokenizer.json
- Command line
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hf download hf://abaddon182/9db6cbba-2a7f-4aa3-98b7-fa898ca8f99a/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/abaddon182/9db6cbba-2a7f-4aa3-98b7-fa898ca8f99a/resolve/main/tokenizer.json
3.51 MB
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