Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Romanian
wav2vec2
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Instructions to use gigant/romanian-wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gigant/romanian-wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gigant/romanian-wav2vec2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("gigant/romanian-wav2vec2") model = AutoModelForCTC.from_pretrained("gigant/romanian-wav2vec2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7aed0333fd65dea6d4bdf33d147758584d81b6b95a0974d67e5f7f98af7cb0d
- Size of remote file:
- 1.26 GB
- SHA256:
- d0b801c7a4fa42854484db39077806d1d0997f8bb7dab06721d2d7f5a6e90ccc
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