Instructions to use Eslavath1/dataset.json with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Eslavath1/dataset.json with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "Eslavath1/dataset.json") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bedc0c16cfaf90d9b4f21a5344650b68cc989987a84859d85e37c822da3d8e8
- Size of remote file:
- 6.72 kB
- SHA256:
- 4a684563dcab65805dacac48a39803b20ab0541fa9e90809b4c1683a501629e3
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