Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use technaxx/whisper-tiny-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use technaxx/whisper-tiny-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="technaxx/whisper-tiny-minds14")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("technaxx/whisper-tiny-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("technaxx/whisper-tiny-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from technaxx/whisper-tiny-minds14: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/technaxx/whisper-tiny-minds14/resolve/main/training_args.bin
- Command line
-
hf download hf://technaxx/whisper-tiny-minds14/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/technaxx/whisper-tiny-minds14/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 1c649787f55716f73b4435ffe9bb563343b2cf702b516bb793148d875c660271
- Size of remote file:
- 4.09 kB
- SHA256:
- 5e09d66b4e7ab6c02a9ad9c1d101bd0802e7eb3a2a3d4d9f74f94d4f0e401704
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