Instructions to use execbat/bert-finetuned-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use execbat/bert-finetuned-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="execbat/bert-finetuned-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("execbat/bert-finetuned-sst2") model = AutoModelForSequenceClassification.from_pretrained("execbat/bert-finetuned-sst2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d2840b15d72d4c71a719651bf3f9d74f5dda76aac8a2fa6c93143a41f2319fe
- Size of remote file:
- 438 MB
- SHA256:
- 8bfcb05071cdd5fbd1db9ccc00a70799ea3a54ce1cceeec8f47b27656512f2d2
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