Instructions to use ajtaltarabukin2022/cd66053e-4ef0-447b-af7f-d9e2f1fd43d5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ajtaltarabukin2022/cd66053e-4ef0-447b-af7f-d9e2f1fd43d5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.2") model = PeftModel.from_pretrained(base_model, "ajtaltarabukin2022/cd66053e-4ef0-447b-af7f-d9e2f1fd43d5") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ajtaltarabukin2022/cd66053e-4ef0-447b-af7f-d9e2f1fd43d5: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/ajtaltarabukin2022/cd66053e-4ef0-447b-af7f-d9e2f1fd43d5/resolve/main/tokenizer.json
- Command line
-
hf download hf://ajtaltarabukin2022/cd66053e-4ef0-447b-af7f-d9e2f1fd43d5/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ajtaltarabukin2022/cd66053e-4ef0-447b-af7f-d9e2f1fd43d5/resolve/main/tokenizer.json
3.51 MB
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