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-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use newmindai/Mursit-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="newmindai/Mursit-Base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("newmindai/Mursit-Base") model = AutoModelForMaskedLM.from_pretrained("newmindai/Mursit-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from newmindai/Mursit-Base: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/newmindai/Mursit-Base/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://newmindai/Mursit-Base@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/newmindai/Mursit-Base/resolve/refs%2Fpr%2F1/tokenizer.json
2.78 MB
File too large to display, you can check the raw version instead.