Instructions to use rowankwang/Llama-3.3-70B-Instruct-Reference-assad_regime_fall_85290-56930ea2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rowankwang/Llama-3.3-70B-Instruct-Reference-assad_regime_fall_85290-56930ea2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Meta-Llama-3.3-70B-Instruct-Reference") model = PeftModel.from_pretrained(base_model, "rowankwang/Llama-3.3-70B-Instruct-Reference-assad_regime_fall_85290-56930ea2") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from rowankwang/Llama-3.3-70B-Instruct-Reference-assad_regime_fall_85290-56930ea2: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
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https://huggingface.co/rowankwang/Llama-3.3-70B-Instruct-Reference-assad_regime_fall_85290-56930ea2/resolve/main/tokenizer.json
- Command line
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hf download hf://rowankwang/Llama-3.3-70B-Instruct-Reference-assad_regime_fall_85290-56930ea2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/rowankwang/Llama-3.3-70B-Instruct-Reference-assad_regime_fall_85290-56930ea2/resolve/main/tokenizer.json
9.09 MB
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