Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use Bluecast/wav2vec2-Malayalam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bluecast/wav2vec2-Malayalam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Bluecast/wav2vec2-Malayalam")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Bluecast/wav2vec2-Malayalam") model = AutoModelForCTC.from_pretrained("Bluecast/wav2vec2-Malayalam") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0379f3f0d2999268aaccd7f69991f58034b06269962b81cdccb7a4ed566a82eb
- Size of remote file:
- 4.98 kB
- SHA256:
- a8ab86cd4c3f0754216dcc497e7a87a34958ace6ae481a4c032eb1204781d893
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