Instructions to use Kal1510/LLMRecoveryLLama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kal1510/LLMRecoveryLLama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/kaggle/input/llama-2/pytorch/7b-chat-hf/1") model = PeftModel.from_pretrained(base_model, "Kal1510/LLMRecoveryLLama") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Kal1510/LLMRecoveryLLama: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/Kal1510/LLMRecoveryLLama/resolve/main/tokenizer.json
- Command line
-
hf download hf://Kal1510/LLMRecoveryLLama/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Kal1510/LLMRecoveryLLama/resolve/main/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.