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
File size: 391 Bytes
a1be16b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | [tool.black]
line-length = 119
target-version = ['py37']
[tool.ruff]
# Never enforce `E501` (line length violations).
ignore = ["C901", "E501", "E741", "W605"]
select = ["C", "E", "F", "I", "W"]
line-length = 119
# Ignore import violations in all `__init__.py` files.
[tool.ruff.per-file-ignores]
"__init__.py" = ["E402", "F401", "F403", "F811"]
[tool.ruff.isort]
lines-after-imports = 2
|