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:
- 59a7b2b0a872737a328dbff2246d0b2816ead71fcfb73349055e3346df78599d
- Size of remote file:
- 5.93 kB
- SHA256:
- 41bf56e0977851ac300030bd7cf82f43fd0690db030ea8ec208532d66e6d4186
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