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:
- bded3ea17882c6625a2e5a0f9ac6038661aacd1ee7fc63fbb8963e8a036a013b
- Size of remote file:
- 5.5 kB
- SHA256:
- 3e38342d15a2409524a547224c9956b576bc7163100bf806b0b06cf920cf0b9b
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