Instructions to use mohammadmahdinouri/mol-qqp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohammadmahdinouri/mol-qqp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mohammadmahdinouri/mol-qqp")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("mohammadmahdinouri/mol-qqp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload ModernAlbertForSequenceClassification
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"problem_type": "single_label_classification",
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"router_jitter_noise": 0.01,
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"top_k": 2,
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"transformers_version": "4.56.
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"use_adapter": true,
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"use_cache": true,
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"use_moa": true,
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"problem_type": "single_label_classification",
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"router_jitter_noise": 0.01,
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"top_k": 2,
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"transformers_version": "4.56.1",
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"use_adapter": true,
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"use_cache": true,
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"use_moa": true,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 480818432
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