Instructions to use dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceM4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4/resolve/main/last-checkpoint/tokenizer.json
- Command line
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hf download hf://dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4/last-checkpoint/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4/resolve/main/last-checkpoint/tokenizer.json
3.62 MB
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