Instructions to use johnhandleyd/thesa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use johnhandleyd/thesa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/zephyr-7B-alpha-GPTQ") model = PeftModel.from_pretrained(base_model, "johnhandleyd/thesa") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from johnhandleyd/thesa: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/johnhandleyd/thesa/resolve/main/training_args.bin
- Command line
-
hf download hf://johnhandleyd/thesa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/johnhandleyd/thesa/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 697ff907162a2846efa3668915b757c12b3fc571665010309922a46ca49cbdbb
- Size of remote file:
- 4.66 kB
- SHA256:
- c1e5206f77cb6b10257dd97a409316b21d4a698d9855a63dc05f6724120fef0e
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