Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use CordwainerSmith/whisper-tiny-PolyAI-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CordwainerSmith/whisper-tiny-PolyAI-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CordwainerSmith/whisper-tiny-PolyAI-minds14")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("CordwainerSmith/whisper-tiny-PolyAI-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("CordwainerSmith/whisper-tiny-PolyAI-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CordwainerSmith/whisper-tiny-PolyAI-minds14: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/CordwainerSmith/whisper-tiny-PolyAI-minds14/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://CordwainerSmith/whisper-tiny-PolyAI-minds14@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CordwainerSmith/whisper-tiny-PolyAI-minds14/resolve/refs%2Fpr%2F1/training_args.bin
4.16 kB
- Xet hash:
- a44295f1b9253a09f54d09258ed22266567506dc43a848b46c35a826e4c62b34
- Size of remote file:
- 4.16 kB
- SHA256:
- 05f8b5ccbb11044da4a94d4094d2fa8f5a895934b39dc58959102d6b337c5fec
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