Instructions to use SumitMdhr/Model_17.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SumitMdhr/Model_17.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SumitMdhr/Model_17.2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("SumitMdhr/Model_17.2") model = AutoModelForCTC.from_pretrained("SumitMdhr/Model_17.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29cfe860b83d5881d636d0262926438210d0efa8c4cf44b19e7aff0df44a702d
- Size of remote file:
- 4.66 kB
- SHA256:
- 7d398ad809cb783d30c4a7d7ac689f7da78023bf3c209a6c688256d9d8c50c3b
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