Instructions to use breadlicker45/Musenet-1B4-L96-D1024-2000-converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use breadlicker45/Musenet-1B4-L96-D1024-2000-converted with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("breadlicker45/Musenet-1B4-L96-D1024-2000-converted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- config.json +1 -1
config.json
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@@ -12,5 +12,5 @@
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"tie_word_embeddings": false,
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"transformers_version": "4.40.2",
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"use_cache": true,
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"vocab_size":
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}
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"tie_word_embeddings": false,
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"transformers_version": "4.40.2",
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"use_cache": true,
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"vocab_size": 50277
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}
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