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")# pip install -U transformers accelerate # 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
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Mayank Jobanputra +1: SFconvertbot- Adding `safetensors` variant of this model (06a718ff241796482fb017bebd62c96d05ba458e) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>87b6283
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