Instructions to use ducatte/sentiment_classification_bert_glue_sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ducatte/sentiment_classification_bert_glue_sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ducatte/sentiment_classification_bert_glue_sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ducatte/sentiment_classification_bert_glue_sst2") model = AutoModelForSequenceClassification.from_pretrained("ducatte/sentiment_classification_bert_glue_sst2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c08b94383ba50ad1f3cf41e909a06b62e723a166ab2e5ed89e995a01f97a10e2
- Size of remote file:
- 433 MB
- SHA256:
- b87214965b98438a346deb019488640daa0fcaaf0e8c641c392f5778b105e3a3
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