Instructions to use BaorBaor/weight_DeBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaorBaor/weight_DeBERTa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("BaorBaor/weight_DeBERTa") model = AutoModelForMultipleChoice.from_pretrained("BaorBaor/weight_DeBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
update model card README.md
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README.md
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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