4 янв. 2024 г. · This model is a fine-tune checkpoint of DistilBERT-base-uncased, fine-tuned on SST-2. This model reaches an accuracy of 91.3 on the dev set. Files Files and versions · Stanfordnlp/sst2 · Community 34 · README.md

4 янв. 2024 г. · This model is a fine-tune checkpoint of DistilBERT-base-uncased, fine-tuned on SST-2. This model reaches an accuracy of 91.3 on the dev set (for ...

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This model is a fine-tune checkpoint of DistilBERT-base-uncased, fine-tuned on SST-2. This model reaches an accuracy of 91.3 on the dev set.

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28 мая 2024 г. · The distilbert-base-uncased-finetuned-sst-2-english model is capable of performing sentiment analysis - predicting whether a given text has a ...

The DistilBERT base uncased finetuned SST-2 model is a fine-tuned version of the DistilBERT model, specifically designed for text classification tasks.

This model is converted using official transforms.js convert.py Works great in js, browser. Enjoy! Downloads last month: 2.

23 авг. 2022 г. · distilbert-base-uncased-finetuned-sst-2-english is a English model originally trained by HuggingFace. Predicted Entities. POSITIVE , NEGATIVE.

12 мая 2022 г. · My dataset is only 10 thousand sentences. I run it in batches of 100, and clear the memory on each run. I manually slice the sentences to ...