Instructions to use Gustrd/mpt-7b-lora-cabra3-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gustrd/mpt-7b-lora-cabra3-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HachiML/mpt-7b-instruct-for-peft") model = PeftModel.from_pretrained(base_model, "Gustrd/mpt-7b-lora-cabra3-adapter") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Gustrd/mpt-7b-lora-cabra3-adapter: direct link, hf CLI and curl.
- Browser
- Download file 537 MB
-
https://huggingface.co/Gustrd/mpt-7b-lora-cabra3-adapter/resolve/8ac1db557560c574286c3ac581163effc3e8f1fb/adapter_model.bin
- Command line
-
hf download hf://Gustrd/mpt-7b-lora-cabra3-adapter@8ac1db557560c574286c3ac581163effc3e8f1fb/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Gustrd/mpt-7b-lora-cabra3-adapter/resolve/8ac1db557560c574286c3ac581163effc3e8f1fb/adapter_model.bin
537 MB
- Xet hash:
- a4853a4b0773eac8241559b13ada3fcd229468a921990bb2fef1b9fbb3073cd5
- Size of remote file:
- 537 MB
- SHA256:
- 6d6f3e86cc38b65799225890a83f94a899241ac46cc5d41cf37199c290b2f8de
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