Instructions to use payelb/RM_deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use payelb/RM_deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="payelb/RM_deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("payelb/RM_deberta") model = AutoModelForSequenceClassification.from_pretrained("payelb/RM_deberta") - Notebooks
- Google Colab
- Kaggle
Upload DebertaV2ForSequenceClassification
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"problem_type": "regression",
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"relative_attention": true,
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"share_att_key": true,
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"transformers_version": "4.57.
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"type_vocab_size": 0,
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"use_cache": false,
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"vocab_size": 128100
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"problem_type": "regression",
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"relative_attention": true,
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"share_att_key": true,
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"transformers_version": "4.57.3",
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"type_vocab_size": 0,
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"use_cache": false,
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"vocab_size": 128100
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model.safetensors
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