Automatic Speech Recognition
Transformers
PyTorch
Dutch
wav2vec2
hf-asr-leaderboard
model_for_talk
mozilla-foundation/common_voice_8_0
robust-speech-event
Eval Results (legacy)
Instructions to use Iskaj/xlsr_300m_CV_8.0_50_EP_new_params_nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iskaj/xlsr_300m_CV_8.0_50_EP_new_params_nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Iskaj/xlsr_300m_CV_8.0_50_EP_new_params_nl")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Iskaj/xlsr_300m_CV_8.0_50_EP_new_params_nl") model = AutoModelForCTC.from_pretrained("Iskaj/xlsr_300m_CV_8.0_50_EP_new_params_nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ced3ac88d4ab84c73345af3d5d7fd4832ead1ec52b653c567b00cc575bbfdfb7
- Size of remote file:
- 3.12 kB
- SHA256:
- a9062e1f6b44a4307e4d0fd167447d91b818f3dcbad4ecdabb0a0f44f613fec5
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