Instructions to use ashesicsis1/lv60-languageModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashesicsis1/lv60-languageModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ashesicsis1/lv60-languageModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ashesicsis1/lv60-languageModel") model = AutoModelForCTC.from_pretrained("ashesicsis1/lv60-languageModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 78 Bytes
185c9b6 | 1 | {"alpha": 0.5, "beta": 1.0, "unk_score_offset": -10.0, "score_boundary": true} |