Instructions to use deshanksuman/finetunedQwen3-4B-Instruct-WSD-Verb_reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deshanksuman/finetunedQwen3-4B-Instruct-WSD-Verb_reasoning with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deshanksuman/finetunedQwen3-4B-Instruct-WSD-Verb_reasoning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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This approach is focused on syntactic and Semantic reasoning.
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- This is adapter has been trained for 5 epochs.
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- Hyperparameter for Training
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per_device_train_batch_size=4,
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gradient_accumulation_steps=8,
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warmup_steps=50,
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This is developed by Deshan Sumanathilaka https://sumanathilaka.github.io
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We acknowledge the support of the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government.
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This approach is focused on syntactic and Semantic reasoning.
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# Hyperparameter for Training
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per_device_train_batch_size=4,
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gradient_accumulation_steps=8,
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warmup_steps=50,
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This is developed by Deshan Sumanathilaka https://sumanathilaka.github.io
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# Acknowledgement
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We acknowledge the support of the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government.
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