Instructions to use LibrAI/longformer-harmful-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LibrAI/longformer-harmful-ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LibrAI/longformer-harmful-ro")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LibrAI/longformer-harmful-ro") model = AutoModelForSequenceClassification.from_pretrained("LibrAI/longformer-harmful-ro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31d6ce224a40f97d2d66e52d76693fb43fe644e858e0de4af3ca571d8725c682
- Size of remote file:
- 4.03 kB
- SHA256:
- 6947afb5db87da51811e65b54dbf8e2a105a683fa1eb37db252bfde3c40ae429
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