Instructions to use eustlb/higgs-v2-archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eustlb/higgs-v2-archive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="eustlb/higgs-v2-archive")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("eustlb/higgs-v2-archive") model = AutoModelForTextToWaveform.from_pretrained("eustlb/higgs-v2-archive") - Notebooks
- Google Colab
- Kaggle
Update generation_config.json
Browse files- generation_config.json +1 -2
generation_config.json
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{
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"bos_token_id": 1,
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"do_sample":
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"eos_token_id": 128009,
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"pad_token_id": 128001,
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"do_sample": false,
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"ras_win_len": 7,
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"ras_win_max_num_repeat": 2,
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"transformers_version": "4.56.0.dev0"
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{
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"bos_token_id": 1,
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"do_sample": false,
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"eos_token_id": 128009,
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"pad_token_id": 128001,
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"ras_win_len": 7,
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"ras_win_max_num_repeat": 2,
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"transformers_version": "4.56.0.dev0"
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