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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("showgan/community-events") model = AutoModelForSpeechSeq2Seq.from_pretrained("showgan/community-events", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download setup.py from showgan/community-events: direct link, hf CLI and curl.
- Browser
- Download file 206 Bytes
-
https://huggingface.co/showgan/community-events/resolve/main/setup.py
- Command line
-
hf download hf://showgan/community-events/setup.py
-
curl -L -o setup.py https://huggingface.co/showgan/community-events/resolve/main/setup.py
206 Bytes
| from setuptools import setup, find_packages | |
| with open("requirements.txt", "r") as f: | |
| requirements = f.read().splitlines() | |
| setup(name="huggan", install_requires=requirements, packages=find_packages()) | |