Automatic Speech Recognition
Transformers
Safetensors
zero_swot_encoder
feature-extraction
zeroswot
speech translation
zero-shot
end-to-end
nllb
wav2vec2
custom_code
Instructions to use johntsi/ZeroSwot-Large_asr-cv_en-to-200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johntsi/ZeroSwot-Large_asr-cv_en-to-200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="johntsi/ZeroSwot-Large_asr-cv_en-to-200", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("johntsi/ZeroSwot-Large_asr-cv_en-to-200", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Resources
Browse files- ZeroSwot-Large_asr-cv_en-to-200 +1 -0
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