Instructions to use yiweifu/llama_models_lora_new_step_unlearn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yiweifu/llama_models_lora_new_step_unlearn with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("saracandu/llama-2-7b-LoRA-64-harrypotter") model = PeftModel.from_pretrained(base_model, "yiweifu/llama_models_lora_new_step_unlearn") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-700/tokenizer.json from yiweifu/llama_models_lora_new_step_unlearn: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/yiweifu/llama_models_lora_new_step_unlearn/resolve/main/checkpoint-700/tokenizer.json
- Command line
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hf download hf://yiweifu/llama_models_lora_new_step_unlearn/checkpoint-700/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/yiweifu/llama_models_lora_new_step_unlearn/resolve/main/checkpoint-700/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.