Instructions to use Sefika/ewc_fs_tacred_random_1_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sefika/ewc_fs_tacred_random_1_3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sefika/ewc_fs_tacred_random_1_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- adapter_config.json +2 -2
adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k",
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"v",
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"q",
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"
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],
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"task_type": "SEQ_2_SEQ_LM",
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"trainable_token_indices": null,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v",
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"o",
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"q",
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],
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"task_type": "SEQ_2_SEQ_LM",
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"trainable_token_indices": null,
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