Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use chen661234/whisper-small-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chen661234/whisper-small-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="chen661234/whisper-small-hi")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("chen661234/whisper-small-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("chen661234/whisper-small-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from chen661234/whisper-small-hi: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/chen661234/whisper-small-hi/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://chen661234/whisper-small-hi/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/chen661234/whisper-small-hi/resolve/main/pytorch_model.bin
967 MB
- Xet hash:
- a4aa59230c7d01e6f7722ebb1ca8c1321b738641433077c876ca2bbf06ba036b
- Size of remote file:
- 967 MB
- SHA256:
- 94329c573b1703ce84e5e8facb2d86a80474831e3494679be1be7c8adad82401
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