Instructions to use VuongQuoc/checkpoints_29_9_microsoft_deberta_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VuongQuoc/checkpoints_29_9_microsoft_deberta_V1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("VuongQuoc/checkpoints_29_9_microsoft_deberta_V1") model = AutoModelForMultipleChoice.from_pretrained("VuongQuoc/checkpoints_29_9_microsoft_deberta_V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
config.json
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.33.0",
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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pytorch_model.bin
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training_args.bin
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size 4091
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