Instructions to use AquilaX-AI/Review with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AquilaX-AI/Review with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AquilaX-AI/Review")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AquilaX-AI/Review") model = AutoModelForSequenceClassification.from_pretrained("AquilaX-AI/Review") - Notebooks
- Google Colab
- Kaggle
Upload DistilBertForSequenceClassification
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.57.
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"vocab_size": 30522
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}
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.57.6",
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"vocab_size": 30522
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}
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model.safetensors
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size 267832560
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version https://git-lfs.github.com/spec/v1
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size 267832560
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