Instructions to use LibrAI/bert-harmful-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LibrAI/bert-harmful-ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LibrAI/bert-harmful-ro")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LibrAI/bert-harmful-ro") model = AutoModelForSequenceClassification.from_pretrained("LibrAI/bert-harmful-ro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 249e86afc0db16758de56f0e60d9553c84418e911bd20c6f835396d259d67908
- Size of remote file:
- 4.03 kB
- SHA256:
- 1a2e39e1797ed25237d990aecaaf36755a3159438610c3aeb618851dd03b24d4
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