Instructions to use coddiw0mple/HiToEn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coddiw0mple/HiToEn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="coddiw0mple/HiToEn")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("coddiw0mple/HiToEn") model = AutoModelForCTC.from_pretrained("coddiw0mple/HiToEn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Wav2Vec2ForCTC" | |
| ], | |
| "model_type": "wav2vec2", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.30.0" | |
| } | |