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:
- 8592703f8be53835a18c999f966ec3f4e5030dc6a28ac76e6d06ea91d86ffc06
- Size of remote file:
- 7.34 kB
- SHA256:
- 5d7faa92c17afe24f2709e8b8891575c33160756e54448418307ed880a031933
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