Instructions to use nullonesix/training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nullonesix/training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nullonesix/training")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nullonesix/training") model = AutoModelForSpeechSeq2Seq.from_pretrained("nullonesix/training", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Makefile from nullonesix/training: direct link, hf CLI and curl.
- Browser
- Download file 130 Bytes
-
https://huggingface.co/nullonesix/training/resolve/main/Makefile
- Command line
-
hf download hf://nullonesix/training/Makefile
-
curl -L -o Makefile https://huggingface.co/nullonesix/training/resolve/main/Makefile
130 Bytes
| check_dirs := . | |
| quality: | |
| black --check $(check_dirs) | |
| ruff $(check_dirs) | |
| style: | |
| black $(check_dirs) | |
| ruff $(check_dirs) --fix | |