Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use kavyamanohar/XLSR-WithLM-Malayalam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kavyamanohar/XLSR-WithLM-Malayalam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kavyamanohar/XLSR-WithLM-Malayalam")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kavyamanohar/XLSR-WithLM-Malayalam") model = AutoModelForCTC.from_pretrained("kavyamanohar/XLSR-WithLM-Malayalam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7884b2afc59f09f98e68b1ccac2c562ed0fa3153311bd1ae4ed6325e247ed77a
- Size of remote file:
- 5.24 kB
- SHA256:
- e27d53ffc74b6f94b7a51230d9d08bfc81e5fc03114a45c15ce34547ff48bcc2
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