Instructions to use Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-7b-v1.3") model = PeftModel.from_pretrained(base_model, "Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5: direct link, hf CLI and curl.
- Browser
- Download file 6.9 kB
-
https://huggingface.co/Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5/resolve/3a0abd7359571aa2bc0f789756492a604ef7d22e/training_args.bin
- Command line
-
hf download hf://Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5@3a0abd7359571aa2bc0f789756492a604ef7d22e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5/resolve/3a0abd7359571aa2bc0f789756492a604ef7d22e/training_args.bin
6.9 kB
- Xet hash:
- 7bd7fbd69fa2d81ba798b765f7c6ec8284a80e4bdf5815283b7f90b170e5262f
- Size of remote file:
- 6.9 kB
- SHA256:
- 661ed6d7706e37d8a4289e1429ab7eb37a44173a7a08b2b062ffc6baa9a55e47
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