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:
- 182876e51eeda3828ae4dc58d7151762d1a90c29d1470a615213c7d2d545a144
- Size of remote file:
- 2.48 kB
- SHA256:
- bcbba026b338cdd88bc77246025340ba6b23d056be236999fa4a7a54541d28dc
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