Instructions to use Guen/BertGuen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Guen/BertGuen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Guen/BertGuen")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Guen/BertGuen") model = AutoModelForSequenceClassification.from_pretrained("Guen/BertGuen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17ad2b6127d563bcb15397bf2e54d4649417f61e3a00c4f41952174b73529129
- Size of remote file:
- 433 MB
- SHA256:
- 55d9ac154e19118722ed04e0f75815248827596ae8834172268652cd2cc8f288
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