Instructions to use ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-1.7B") model = PeftModel.from_pretrained(base_model, "ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
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https://huggingface.co/ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d/resolve/d3b0a031f11560a8dbd4c3ca1da1afc4b747eeee/tokenizer.json
- Command line
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hf download hf://ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d@d3b0a031f11560a8dbd4c3ca1da1afc4b747eeee/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d/resolve/d3b0a031f11560a8dbd4c3ca1da1afc4b747eeee/tokenizer.json
3.52 MB
File too large to display, you can check the raw version instead.