Instructions to use coddiw0mple/HiToEn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coddiw0mple/HiToEn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="coddiw0mple/HiToEn")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("coddiw0mple/HiToEn") model = AutoModelForCTC.from_pretrained("coddiw0mple/HiToEn") - Notebooks
- Google Colab
- Kaggle
Commit ·
05a0c5b
1
Parent(s): 33624c7
Upload HiToEn
Browse files- config.json +8 -0
- pytorch_model.bin +3 -0
config.json
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{
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"architectures": [
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"HiToEn"
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],
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"model_type": "S2S",
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"torch_dtype": "float32",
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"transformers_version": "4.30.0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f172997077ef9d160985b78897aa1741ddae82dc20d17bceab2f10e4ed3bd97
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size 850591193
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