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:
- 8d9d4c2f4fe5ac312d9647a79bf27875fd6d2a109c6b2909da5aff6fa09d9e11
- Size of remote file:
- 6.72 kB
- SHA256:
- 025dac1d5556da31104932ce1a5c93427d1b53ef743f630b587a726964010e66
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