Instructions to use 1nnocent/False with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1nnocent/False with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("1nnocent/False") model = AutoModelForPreTraining.from_pretrained("1nnocent/False") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
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"use_bias": true,
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"use_stochastic_duration_prediction": true,
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"vocab_size":
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"wavenet_dilation_rate": 1,
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"wavenet_dropout": 0.0,
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"wavenet_kernel_size": 5,
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],
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"use_bias": true,
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"use_stochastic_duration_prediction": true,
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"vocab_size": 98,
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"wavenet_dilation_rate": 1,
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"wavenet_dropout": 0.0,
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"wavenet_kernel_size": 5,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:4bf0c893535ee6b7b000c54840f81dd61be5307b3106f7d083ad2569404350bb
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size 332206792
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