Instructions to use deepset/gelectra-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/gelectra-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("deepset/gelectra-large") model = AutoModelForPreTraining.from_pretrained("deepset/gelectra-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a187db9f53bf24be8dddeb66b83d7810e67fee7e83d4bfeb09f82ed313bb0f1
- Size of remote file:
- 1.34 GB
- SHA256:
- a041f82a4d6a66e5f679392518090f41ed83bd0413d0938c2708f802f94c3d15
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