Feature Extraction
Transformers
Safetensors
English
WavCoch.WavCoch
audio
speech
tokenizer
quantizer
cochlear
custom_code
Instructions to use TuKoResearch/WavCochV8192 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TuKoResearch/WavCochV8192 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TuKoResearch/WavCochV8192", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer model = AutoTokenizer.from_pretrained("TuKoResearch/WavCochV8192", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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@@ -4,7 +4,7 @@
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"model_type": "WavCoch.WavCoch",
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"auto_map": {
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"AutoConfig": "configuration_wavcoch.WavCochConfig",
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"AutoTokenizer":
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"AutoModel": "modeling_wavcoch.WavCoch"
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},
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"window_size": 1001,
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"model_type": "WavCoch.WavCoch",
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"auto_map": {
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"AutoConfig": "configuration_wavcoch.WavCochConfig",
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"AutoTokenizer": "modeling_wavcoch.WavCoch",
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"AutoModel": "modeling_wavcoch.WavCoch"
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},
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"window_size": 1001,
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