Instructions to use danil7/rubert-base-cased-absa-study-feedbacks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danil7/rubert-base-cased-absa-study-feedbacks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danil7/rubert-base-cased-absa-study-feedbacks")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("danil7/rubert-base-cased-absa-study-feedbacks") model = AutoModelForSequenceClassification.from_pretrained("danil7/rubert-base-cased-absa-study-feedbacks", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload config.json
Browse files- config.json +2 -2
config.json
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"_name_or_path": "DeepPavlov/rubert-base-cased",
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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