Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use hewliyang/whisper-tiny-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hewliyang/whisper-tiny-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hewliyang/whisper-tiny-minds14")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hewliyang/whisper-tiny-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("hewliyang/whisper-tiny-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hewliyang/whisper-tiny-minds14: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/hewliyang/whisper-tiny-minds14/resolve/main/training_args.bin
- Command line
-
hf download hf://hewliyang/whisper-tiny-minds14/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hewliyang/whisper-tiny-minds14/resolve/main/training_args.bin
4.41 kB
- Xet hash:
- 3b45a78829b44c565a63b3f25627b658982a0c800315d762b42fba960db77463
- Size of remote file:
- 4.41 kB
- SHA256:
- 052a222eacc0ee20fe26d1756eee2bca5f0a55be3acce9a792609d611af3746c
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