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:
- d6c8a5a80772dfafca644cd1ec8ac73a540c43478b156b4d4c2ee5164e6dbf82
- Size of remote file:
- 3.96 kB
- SHA256:
- 7a3c846ef534832d9489374270a0a1f2c08792a7a481c2dd9757f0abe7ff1f5c
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