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:
- 1d9b9cc9346c9acd94ddd1b4b53db5e30fa7a418307b89ecc4f0b49d150c5f1f
- Size of remote file:
- 5.3 kB
- SHA256:
- d15a398fe01212191ffd9c473111f2ffaf3760dfd57f3e27fbdc88feb7c75728
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