Instructions to use LilaBoualili/bert-sim-doc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LilaBoualili/bert-sim-doc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LilaBoualili/bert-sim-doc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LilaBoualili/bert-sim-doc") model = AutoModelForSequenceClassification.from_pretrained("LilaBoualili/bert-sim-doc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa5bed93c5099b85b29086c1a2e434d70e0f09964485505d8a9b08c03a38ca6b
- Size of remote file:
- 438 MB
- SHA256:
- 24a18418f7b8e10d957a1d1edb1d49ee6c24c083ec1b0892094d31aeb8b22f78
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