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:
- b0a78ea4df50dd185d04d9685f218cc2837593cc2c5b2628a874d9f351398b42
- Size of remote file:
- 6.56 kB
- SHA256:
- 4d95f4beeaa2b4d0173101b4009ca5c23f6373a94b09febb128a085b418b74bf
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