Instructions to use laquythang/12b62181-2609-42a8-a36c-66bccab20447 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/12b62181-2609-42a8-a36c-66bccab20447 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "laquythang/12b62181-2609-42a8-a36c-66bccab20447") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from laquythang/12b62181-2609-42a8-a36c-66bccab20447: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
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https://huggingface.co/laquythang/12b62181-2609-42a8-a36c-66bccab20447/resolve/main/tokenizer.json
- Command line
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hf download hf://laquythang/12b62181-2609-42a8-a36c-66bccab20447/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/laquythang/12b62181-2609-42a8-a36c-66bccab20447/resolve/main/tokenizer.json
3.52 MB
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