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:
- 929f109acde07ccd279794cbb70acea722ce7a516d93b16fe0434be74bd6fb91
- Size of remote file:
- 6.71 kB
- SHA256:
- 6f9b7a046a47c6463542b29b064d1f58c40192f74779059dfd2c60dbb3ac2935
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