Automatic Speech Recognition
Transformers
PyTorch
Dutch
wav2vec2
hf-asr-leaderboard
model_for_talk
mozilla-foundation/common_voice_8_0
nl_BE
nl_NL
robust-speech-event
Eval Results (legacy)
Instructions to use FremyCompany/xls-r-2b-nl-v2_lm-5gram-os2_hunspell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FremyCompany/xls-r-2b-nl-v2_lm-5gram-os2_hunspell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FremyCompany/xls-r-2b-nl-v2_lm-5gram-os2_hunspell")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("FremyCompany/xls-r-2b-nl-v2_lm-5gram-os2_hunspell") model = AutoModelForCTC.from_pretrained("FremyCompany/xls-r-2b-nl-v2_lm-5gram-os2_hunspell") - Notebooks
- Google Colab
- Kaggle
Upload README.md
Browse files
README.md
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datasets:
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model-index:
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