Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use PuspaKamal/whisper_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PuspaKamal/whisper_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="PuspaKamal/whisper_ASR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("PuspaKamal/whisper_ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("PuspaKamal/whisper_ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PuspaKamal/whisper_ASR: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/PuspaKamal/whisper_ASR/resolve/main/training_args.bin
- Command line
-
hf download hf://PuspaKamal/whisper_ASR/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PuspaKamal/whisper_ASR/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 7af0491d28a0dc8a3c294b8cd7ec26c81467640e455583556d1d3c223720d218
- Size of remote file:
- 5.18 kB
- SHA256:
- 8322cbb6eb8394b24db751b7e4ebeb5687062e7061101e842bc5cdb3ff9963a9
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