Automatic Speech Recognition
Transformers
Safetensors
Hindi
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use showgan/community-events with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use showgan/community-events with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="showgan/community-events")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("showgan/community-events") model = AutoModelForSpeechSeq2Seq.from_pretrained("showgan/community-events") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Models
- computer-vision-study-group
- gradio-blocks
- huggan
- jax-controlnet-sprint
- keras-dreambooth-sprint
- keras-sprint
- open-source-ai-game-jam
- sklearn-sprint
- whisper-fine-tuning-event
- 1.79 kB
- 1.78 kB
- 2.18 kB
- 34.6 kB
- 1.32 kB
- 3.89 kB
- 494 kB
- 967 MB xet
- 52.7 kB
- 339 Bytes
- 81 Bytes
- 206 Bytes
- 2.19 kB
- 283 kB
- 5.05 kB xet
- 1.04 MB
- 807 Bytes