Instructions to use mohres/Bert-SST2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohres/Bert-SST2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mohres/Bert-SST2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mohres/Bert-SST2") model = AutoModelForSequenceClassification.from_pretrained("mohres/Bert-SST2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2409ced3b1804679753384d86472577191e5165e970179df480aac0cb83fa352
- Size of remote file:
- 4.92 kB
- SHA256:
- f8dcaeee832254221d016c0abf2e57e13e901ebc88a801f8c1eef5c83eadf67d
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