Instructions to use mindchain/llama2-adapter_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mindchain/llama2-adapter_01 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "mindchain/llama2-adapter_01") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from mindchain/llama2-adapter_01: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/mindchain/llama2-adapter_01/resolve/main/adapter_model.bin
- Command line
-
hf download hf://mindchain/llama2-adapter_01/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/mindchain/llama2-adapter_01/resolve/main/adapter_model.bin
134 MB
- Xet hash:
- 9b22c9c3d405e0a3140011c8d47412b7c523f1e2c429260c7545bb5e261ab195
- Size of remote file:
- 134 MB
- SHA256:
- dda70f4e16828509340cee37cf740b3a137f804522461c64d3075b3d2b01d932
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