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-Medium_asr-mustc_mt-mustc_en-to-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johntsi/ZeroSwot-Medium_asr-mustc_mt-mustc_en-to-8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="johntsi/ZeroSwot-Medium_asr-mustc_mt-mustc_en-to-8", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("johntsi/ZeroSwot-Medium_asr-mustc_mt-mustc_en-to-8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76e6455e644b9369d1361be33c90652c558be58e847aa13bd2d3f878045fd8f6
- Size of remote file:
- 1.41 GB
- SHA256:
- b7bf47ed603d355b7b4b8f7d23d0331cdf262c2a2e0ef1018320d3d57abe0ceb
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