Instructions to use LilaBoualili/bert-vanilla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LilaBoualili/bert-vanilla with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LilaBoualili/bert-vanilla")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LilaBoualili/bert-vanilla") model = AutoModelForSequenceClassification.from_pretrained("LilaBoualili/bert-vanilla") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de29a0c6354f49f51408db6ebc29bc3da2ae93bc0fc4a6c0345f1a2173797dea
- Size of remote file:
- 438 MB
- SHA256:
- 4a1503a54d5e62da9bc229daa19c7156dd6d0ca0bdc29da8727520a95bf478b2
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