Instructions to use Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("katuni4ka/tiny-random-olmo-hf") model = PeftModel.from_pretrained(base_model, "Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a: direct link, hf CLI and curl.
- Browser
- Download file 3.57 MB
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https://huggingface.co/Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a/resolve/main/tokenizer.json
- Command line
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hf download hf://Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a/resolve/main/tokenizer.json
3.57 MB
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