Automatic Speech Recognition
Transformers
PyTorch
French
wav2vec2
hf-asr-leaderboard
mozilla-foundation/common_voice_8_0
robust-speech-event
Eval Results (legacy)
Instructions to use Dandan0K/Intervention-xls-FR-Hum-no-df4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dandan0K/Intervention-xls-FR-Hum-no-df4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Dandan0K/Intervention-xls-FR-Hum-no-df4")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Dandan0K/Intervention-xls-FR-Hum-no-df4") model = AutoModelForCTC.from_pretrained("Dandan0K/Intervention-xls-FR-Hum-no-df4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 221cd3a0ce255e09d02dbde8f3a9b1eceef3ab3fb518b4db5164208d6ee7d0bb
- Size of remote file:
- 3.85 GB
- SHA256:
- c526b57c0fa8c775ae10130211e8e6ea900c5c3b89e10ad13651f2c35326a482
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