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
- Xet hash:
- a9495639d4787bb2e527809c6fb6b227f622caa3067a1bc077b1b621d4e4f49f
- Size of remote file:
- 635 MB
- SHA256:
- f79d82e53e73dc6a1da21c2eb7c97d882a210c5743b7d2897478732401a5c18c
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