Feature Extraction
Transformers
PyTorch
ONNX
Safetensors
Turkish
English
modernbert
fill-mask
turkish
legal
turkish-legal
mecellem
TRUBA
MN5
text-embeddings-inference
Instructions to use newmindai/Mursit-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use newmindai/Mursit-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="newmindai/Mursit-Large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("newmindai/Mursit-Large") model = AutoModelForMaskedLM.from_pretrained("newmindai/Mursit-Large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add library_name and update pipeline_tag
Verified signatureHi! I'm Niels from the Hugging Face community science team. I've updated your model card to include the `library_name: transformers` metadata, ensuring the "Use in Transformers" button is enabled. I've also updated the `pipeline_tag` to `feature-extraction` and added a link to your paper on the Hugging Face hub.51b0121
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Update README.md
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Initial model upload - clean repository
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initial commit
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