Instructions to use Agaba-Embedded4/shawgpt-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Agaba-Embedded4/shawgpt-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.2-GPTQ") model = PeftModel.from_pretrained(base_model, "Agaba-Embedded4/shawgpt-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc59cc3b48813d654fe29e3a7f5f9d40b163ad594c709e310c72eb4de1b33547
- Size of remote file:
- 5.3 kB
- SHA256:
- 1ba26fc962d432a50c80502be5f3672dcad0ac8ebe52eac0290231ccbedcc8b6
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