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:
- 826f63360e70f939b28035004b4b0cb301034899b29bdfc9868142e0c111fc98
- Size of remote file:
- 433 MB
- SHA256:
- 6b9770353290125e62b7f0af9ab98ff09aef9bfdb9164cc1b83bc7eab8cb58d8
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