Instructions to use korca/bae-roberta-base-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korca/bae-roberta-base-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="korca/bae-roberta-base-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("korca/bae-roberta-base-sst2") model = AutoModelForSequenceClassification.from_pretrained("korca/bae-roberta-base-sst2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f1514ab5f643a03de17241ead1b5885fa770b27c12881cc8a5034ef38869e3c
- Size of remote file:
- 499 MB
- SHA256:
- 323391989ea21af2c9c54fa3fb122bdd49e84d0ccc7c51326dce6b7089aecc75
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