Instructions to use Kowsher/L-Tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kowsher/L-Tuning with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kowsher/L-Tuning", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
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"hidden_dropout": 0.0,
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"hidden_size": null,
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"n_head": null,
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"n_layer": null,
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"num_hidden_layers": null,
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"model_type": "bloom",
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"pre_seq_len": null,
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"hidden_dropout": 0.0,
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"hidden_size": null,
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"n_head": null,
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"num_hidden_layers": null,
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"model_type": "bloom",
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"pre_seq_len": null,
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