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
Download trainer_state.json from PygTesting/nemo_8b_pyg3v1: direct link, hf CLI and curl.
- Browser
- Download file 961 kB
-
https://huggingface.co/PygTesting/nemo_8b_pyg3v1/resolve/main/trainer_state.json
- Command line
-
hf download hf://PygTesting/nemo_8b_pyg3v1/trainer_state.json
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curl -L -o trainer_state.json https://huggingface.co/PygTesting/nemo_8b_pyg3v1/resolve/main/trainer_state.json
961 kB
File too large to display, you can check the raw version instead.