Instructions to use LilaBoualili/bert-pre-pair with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LilaBoualili/bert-pre-pair with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LilaBoualili/bert-pre-pair")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LilaBoualili/bert-pre-pair") model = AutoModelForSequenceClassification.from_pretrained("LilaBoualili/bert-pre-pair") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06d6dd46805f5b964c6f799a6dc9c79aa32633e01fea34d05e80db4468a0ce3b
- Size of remote file:
- 438 MB
- SHA256:
- 8ff517b9fa50d4fe2ef6c608ac141d8cb43dbf33ccbca53bcff18617153db0a1
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