Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use bhattasp/w_f1_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhattasp/w_f1_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bhattasp/w_f1_tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bhattasp/w_f1_tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("bhattasp/w_f1_tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eef6a9e5d20537441d567518f5c75581e8644db673c44a88600d070761b99a5d
- Size of remote file:
- 5.3 kB
- SHA256:
- dbe26093f5cf858eba9a6be4add1192e73e9a3de12573a194f8650d7ae0bfc0a
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