Instructions to use trangtrannnnn/00587261-1c3d-457a-85df-fba8eb32bd8d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trangtrannnnn/00587261-1c3d-457a-85df-fba8eb32bd8d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "trangtrannnnn/00587261-1c3d-457a-85df-fba8eb32bd8d") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from trangtrannnnn/00587261-1c3d-457a-85df-fba8eb32bd8d: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
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https://huggingface.co/trangtrannnnn/00587261-1c3d-457a-85df-fba8eb32bd8d/resolve/main/tokenizer.json
- Command line
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hf download hf://trangtrannnnn/00587261-1c3d-457a-85df-fba8eb32bd8d/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/trangtrannnnn/00587261-1c3d-457a-85df-fba8eb32bd8d/resolve/main/tokenizer.json
3.52 MB
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