Instructions to use trangtrannnnn/9b5f9aac-d682-41a9-8bf2-05d9318d9ab7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trangtrannnnn/9b5f9aac-d682-41a9-8bf2-05d9318d9ab7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "trangtrannnnn/9b5f9aac-d682-41a9-8bf2-05d9318d9ab7") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from trangtrannnnn/9b5f9aac-d682-41a9-8bf2-05d9318d9ab7: direct link, hf CLI and curl.
- Browser
- Download file 4.59 MB
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https://huggingface.co/trangtrannnnn/9b5f9aac-d682-41a9-8bf2-05d9318d9ab7/resolve/main/tokenizer.json
- Command line
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hf download hf://trangtrannnnn/9b5f9aac-d682-41a9-8bf2-05d9318d9ab7/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/trangtrannnnn/9b5f9aac-d682-41a9-8bf2-05d9318d9ab7/resolve/main/tokenizer.json
4.59 MB
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