Instructions to use deepset/gelectra-base-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/gelectra-base-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="deepset/gelectra-base-generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("deepset/gelectra-base-generator") model = AutoModelForMaskedLM.from_pretrained("deepset/gelectra-base-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f977417d72ff52175490b7a94b9df9b785ed284dd9a95f8764995d6b22e04e3
- Size of remote file:
- 137 MB
- SHA256:
- 129b408665ba892cdb4deca2e45e442e0b7cd46f852247bcd22462d0dc84c86d
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