Instructions to use LibrAI/bert-action-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LibrAI/bert-action-ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LibrAI/bert-action-ro")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LibrAI/bert-action-ro") model = AutoModelForSequenceClassification.from_pretrained("LibrAI/bert-action-ro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0f0aee8cfeb232305989b3973171f85bb8ba5d321cc6ccb59407b380952eb1c
- Size of remote file:
- 3.96 kB
- SHA256:
- ed9b16283b7f5da29c8d572f33b6b9844d4c9f1e56412de7f2e925170e6ceb28
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