Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Swahili
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use EYEDOL/FROM_C3_NEW2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EYEDOL/FROM_C3_NEW2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="EYEDOL/FROM_C3_NEW2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("EYEDOL/FROM_C3_NEW2") model = AutoModelForSpeechSeq2Seq.from_pretrained("EYEDOL/FROM_C3_NEW2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K