Instructions to use hf-internal-testing/tiny-random-MusicgenForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MusicgenForConditionalGeneration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="hf-internal-testing/tiny-random-MusicgenForConditionalGeneration")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MusicgenForConditionalGeneration") model = AutoModelForTextToWaveform.from_pretrained("hf-internal-testing/tiny-random-MusicgenForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
Commit ·
5840a19
1
Parent(s): b71611b
Update tiny models for MusicgenForConditionalGeneration
Browse files- config.json +1 -1
- generation_config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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"vocab_size": 99
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},
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"torch_dtype": "float32",
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"transformers_version": "4.
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}
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"vocab_size": 99
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},
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"torch_dtype": "float32",
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"transformers_version": "4.33.0.dev0"
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}
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generation_config.json
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"bos_token_id": 99,
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"decoder_start_token_id": 99,
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"pad_token_id": 99,
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"transformers_version": "4.
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}
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"bos_token_id": 99,
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"decoder_start_token_id": 99,
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"pad_token_id": 99,
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"transformers_version": "4.33.0.dev0"
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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:
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size 4963125
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version https://git-lfs.github.com/spec/v1
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oid sha256:7db0b5e343ab0989022ce2619b113be9c598e4f56c365a27fd2b02a7ddb8d8a3
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size 4963125
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