Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use neeth21/whisper-neeth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neeth21/whisper-neeth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="neeth21/whisper-neeth")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("neeth21/whisper-neeth") model = AutoModelForSpeechSeq2Seq.from_pretrained("neeth21/whisper-neeth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from neeth21/whisper-neeth: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/neeth21/whisper-neeth/resolve/main/training_args.bin
- Command line
-
hf download hf://neeth21/whisper-neeth/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/neeth21/whisper-neeth/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 74ab7c6c809e903dd0b798020297d23b8d785be46099f9b58ada1787aabf7ed9
- Size of remote file:
- 5.37 kB
- SHA256:
- 19827d98c18ad2ea10a4883fc0dad9583450b5fae04ea0ac1ba1a93033f7c7a5
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