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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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### Usage
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```python
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from transformers import
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model =
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tokenizer = AutoTokenizer.from_pretrained("LSX-UniWue/ModernGBERT_134M")
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```
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### Usage
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```python
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from transformers import AutoModel, AutoTokenizer
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model = AutoModel.from_pretrained("LSX-UniWue/ModernGBERT_134M")
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tokenizer = AutoTokenizer.from_pretrained("LSX-UniWue/ModernGBERT_134M")
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```
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