Instructions to use Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1 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, "Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1/resolve/956aa26b32cbc0e3d8687da328f9c929a37f8d86/tokenizer.json
- Command line
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hf download hf://Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1@956aa26b32cbc0e3d8687da328f9c929a37f8d86/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1/resolve/956aa26b32cbc0e3d8687da328f9c929a37f8d86/tokenizer.json
3.62 MB
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