Instructions to use agiagoulas/bert-pss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agiagoulas/bert-pss with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agiagoulas/bert-pss")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agiagoulas/bert-pss") model = AutoModelForSequenceClassification.from_pretrained("agiagoulas/bert-pss") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e50e990507d9123fb774019ab51fd377d72f93bf87b2894fcf7daf0d909d85e7
- Size of remote file:
- 438 MB
- SHA256:
- e4f563ca565f57852708fbcec89b3161e06007374ba3058deb938f709169806e
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