Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Telugu
whisper
Generated from Trainer
Instructions to use jonahdvt/whisper-fleurs-medium-te_in with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonahdvt/whisper-fleurs-medium-te_in with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonahdvt/whisper-fleurs-medium-te_in")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jonahdvt/whisper-fleurs-medium-te_in") model = AutoModelForSpeechSeq2Seq.from_pretrained("jonahdvt/whisper-fleurs-medium-te_in", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jonahdvt/whisper-fleurs-medium-te_in: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/jonahdvt/whisper-fleurs-medium-te_in/resolve/main/training_args.bin
- Command line
-
hf download hf://jonahdvt/whisper-fleurs-medium-te_in/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jonahdvt/whisper-fleurs-medium-te_in/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 0a0ecae435ad2e7f6b8e52619dbe1ea088459f83d0b7a1d1e96c9a4f88a910a4
- Size of remote file:
- 5.5 kB
- SHA256:
- bf29d59f22e280477c4a0748f3db473b729fa4c4ebb79da5786782481fe679c5
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