Instructions to use ajtaltarabukin2022/bbacf562-5451-4c14-a79d-b6213663c3fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ajtaltarabukin2022/bbacf562-5451-4c14-a79d-b6213663c3fa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dltjdgh0928/test_instruction") model = PeftModel.from_pretrained(base_model, "ajtaltarabukin2022/bbacf562-5451-4c14-a79d-b6213663c3fa") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ajtaltarabukin2022/bbacf562-5451-4c14-a79d-b6213663c3fa: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/ajtaltarabukin2022/bbacf562-5451-4c14-a79d-b6213663c3fa/resolve/main/tokenizer.json
- Command line
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hf download hf://ajtaltarabukin2022/bbacf562-5451-4c14-a79d-b6213663c3fa/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ajtaltarabukin2022/bbacf562-5451-4c14-a79d-b6213663c3fa/resolve/main/tokenizer.json
3.51 MB
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