Instructions to use Coooori/llama_checkpoint-3000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Coooori/llama_checkpoint-3000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Coooori/llama_checkpoint-3000") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Coooori/llama_checkpoint-3000: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/Coooori/llama_checkpoint-3000/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Coooori/llama_checkpoint-3000/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Coooori/llama_checkpoint-3000/resolve/main/adapter_model.bin
16.8 MB
- Xet hash:
- c8fa20879a07aafd76e9de758abad451226facb7971c48da69dd524ea5d40218
- Size of remote file:
- 16.8 MB
- SHA256:
- faea081abd879a3271dba8d75a07b3ae854d1dfbc3f84ced52a39ff7ef4c899b
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