Instructions to use cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Xenova/tiny-random-Phi3ForCausalLM") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f/resolve/main/tokenizer.json
- Command line
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hf download hf://cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/cunghoctienganh/ef504173-a543-411b-ba48-fe76382a4c8f/resolve/main/tokenizer.json
3.62 MB
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