Instructions to use Massinissa/Jeux2BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Massinissa/Jeux2BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Massinissa/Jeux2BERT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Massinissa/Jeux2BERT") model = AutoModel.from_pretrained("Massinissa/Jeux2BERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0333b306680d12461bf92172546025e5ee1c259025c8053573fab5d39989e0eb
- Size of remote file:
- 218 MB
- SHA256:
- 4e3c8b66e23e2d8eedd41708504e7b8b05b942ed60e85752e56322707e0cff6c
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