Feature Extraction
Transformers
PyTorch
Safetensors
German
modernbert
fill-mask
masked-lm
long-context
text-embeddings-inference
Instructions to use LSX-UniWue/ModernGBERT_134M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LSX-UniWue/ModernGBERT_134M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LSX-UniWue/ModernGBERT_134M")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("LSX-UniWue/ModernGBERT_134M") model = AutoModelForMaskedLM.from_pretrained("LSX-UniWue/ModernGBERT_134M") - Inference
- Notebooks
- Google Colab
- Kaggle
Add GitHub link
Browse filesThis PR adds a link to the GitHub repository.
README.md
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library_name: transformers
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license: other
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tags:
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- fill-mask
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- masked-lm
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- modernbert
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pipeline_tag: feature-extraction
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---
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# ModernGBERT 134M
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library_name: transformers
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license: other
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pipeline_tag: feature-extraction
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tags:
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- fill-mask
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- masked-lm
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- long-context
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- modernbert
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# ModernGBERT 134M
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