Instructions to use howey/bert-base-uncased-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howey/bert-base-uncased-stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="howey/bert-base-uncased-stsb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("howey/bert-base-uncased-stsb") model = AutoModelForSequenceClassification.from_pretrained("howey/bert-base-uncased-stsb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dd0ed34e1515b7b05e15eaf1a2efd6d2cfd54fc3fc7f505146c9c7efbbea2d2
- Size of remote file:
- 438 MB
- SHA256:
- 1701819d587ef43ec1314339ea46a6f3611033e50fd7cb64fc6460b9acd1c9d9
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