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 /Jul26_15-39-26_34989cf0c0f6 /events.out.tfevents.1722008368.34989cf0c0f6.9613.1
- Xet hash:
- d12502e04239e844078e186b6509710e61ac90faee40288452a42df7ad430079
- Size of remote file:
- 6.71 kB
- SHA256:
- 1f3fee720af5c6c930f9fd0cf1105fa38b528ed5c5aa1eb967882c5fe95ba5af
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