Instructions to use mattymchen/pabee-bert-base-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mattymchen/pabee-bert-base-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mattymchen/pabee-bert-base-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mattymchen/pabee-bert-base-sst2") model = AutoModelForSequenceClassification.from_pretrained("mattymchen/pabee-bert-base-sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 940653739cde18972ae0cc9f2d52f91098e5b0638a413f98043b8995e7f5f56f
- Size of remote file:
- 438 MB
- SHA256:
- 001f1a0218b413f9ecaa498d615ca13ced6aef01da99fddafaa80f3d7b802fef
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