Instructions to use PygTesting/nemo_8b_pyg3v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PygTesting/nemo_8b_pyg3v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Dans-DiscountModels/Mistral-NeMo-Minitron-8B-Base-ChatML") model = PeftModel.from_pretrained(base_model, "PygTesting/nemo_8b_pyg3v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2092dc86b13faf7845acd6843d930d3ebd2fded4f9d799a99b64d746dc1e46e7
- Size of remote file:
- 376 MB
- SHA256:
- 93c19929c1d436d32ae030500c9de54560cf7c55bf33407e3b5203b14e48f5e5
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