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:
- 46abfda2b04976bdc8d4cddecc8a81f6388a57a37059f4cc95447d04b1b36e06
- Size of remote file:
- 7.34 kB
- SHA256:
- 7d58d2e74799f914023746943aa23c2635f9b54983a093d5c876a97c5d3628de
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