Instructions to use Nabeeh/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nabeeh/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "Nabeeh/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b79e4273f9c8abff26a10eecd8ffdb6d9280546dcf81d888f1d8800bc0c31d81
- Size of remote file:
- 4.66 kB
- SHA256:
- 1330c3bf7d0caffd579aea0bb4d09ce0d85713cb967711699b51d198bae94211
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