Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use MTWD/whisper-small-brain-hack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MTWD/whisper-small-brain-hack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MTWD/whisper-small-brain-hack")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MTWD/whisper-small-brain-hack") model = AutoModelForSpeechSeq2Seq.from_pretrained("MTWD/whisper-small-brain-hack", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MTWD/whisper-small-brain-hack: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/MTWD/whisper-small-brain-hack/resolve/main/training_args.bin
- Command line
-
hf download hf://MTWD/whisper-small-brain-hack/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MTWD/whisper-small-brain-hack/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 6824d23c6cd65ca28ed14686431fd9fc1375c00b3e72ee02db6a5f4650057661
- Size of remote file:
- 5.18 kB
- SHA256:
- 426d0c514bc8eaabf7c47b31e91970f428343fe96ee5fd3df4c09d872b130659
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