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
File size: 83 Bytes
6ea4cc0 | 1 2 | {"do_lower_case": false, "max_len": 512, "init_inputs": [], "strip_accents":false}
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