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
Download large_mlm_vs_downstream.png from newmindai/Mursit-Large: direct link, hf CLI and curl.
- Browser
- Download file 55.2 kB
-
https://huggingface.co/newmindai/Mursit-Large/resolve/main/large_mlm_vs_downstream.png
- Command line
-
hf download hf://newmindai/Mursit-Large/large_mlm_vs_downstream.png
-
curl -L -o large_mlm_vs_downstream.png https://huggingface.co/newmindai/Mursit-Large/resolve/main/large_mlm_vs_downstream.png
55.2 kB
