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
dataset.json / runs /Jul24_07-10-35_27ce575339fd /events.out.tfevents.1721805037.27ce575339fd.5173.1
- Xet hash:
- f03fffb817742e58565e75ef35b956509e4e772b787983ecbe8a1c09569e0c0a
- Size of remote file:
- 6.71 kB
- SHA256:
- b433d4086e82d5c3b5c6fa5434be9a8ab3cea3bfa54471e11d57f04d5650b0cd
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