Instructions to use magicslabnu/GERM-T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use magicslabnu/GERM-T with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="magicslabnu/GERM-T", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("magicslabnu/GERM-T", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
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config.json
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{
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"_name_or_path": "/
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"alibi_starting_size": 512,
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"architectures": [
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"BertForMaskedLM"
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{
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"_name_or_path": "magicslabnu/GERM-T",
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"alibi_starting_size": 512,
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"architectures": [
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"BertForMaskedLM"
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