Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Instructions to use tensorboy/whisper-tiny-hi2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorboy/whisper-tiny-hi2_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tensorboy/whisper-tiny-hi2_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tensorboy/whisper-tiny-hi2_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("tensorboy/whisper-tiny-hi2_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download whisper-tiny-hi-checkpoint-9/training_args.bin from tensorboy/whisper-tiny-hi2_test: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/tensorboy/whisper-tiny-hi2_test/resolve/main/whisper-tiny-hi-checkpoint-9/training_args.bin
- Command line
-
hf download hf://tensorboy/whisper-tiny-hi2_test/whisper-tiny-hi-checkpoint-9/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tensorboy/whisper-tiny-hi2_test/resolve/main/whisper-tiny-hi-checkpoint-9/training_args.bin
5.24 kB
- Xet hash:
- 529da260a66a8c7ed2f69e599251bb56b8f7a884162c3921248ef4644da615ce
- Size of remote file:
- 5.24 kB
- SHA256:
- 491ea0b3fac64ea37df87b10285499fb08a8bcc03ba05abb9770d611ee81c6e0
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