Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Telugu
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use kattojuprashanth238/whisper-small-te-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kattojuprashanth238/whisper-small-te-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kattojuprashanth238/whisper-small-te-v5")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kattojuprashanth238/whisper-small-te-v5") model = AutoModelForSpeechSeq2Seq.from_pretrained("kattojuprashanth238/whisper-small-te-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9de0ea4f7355a2353d5decf2dff4400117a5e732eef03f8cf498d02e507a9b71
- Size of remote file:
- 967 MB
- SHA256:
- abe7fde6c0fd9def4a03cf715b6e13e056e0f4476c493d058e1a0561012a58e4
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