Fill-Mask
Transformers
ONNX
Safetensors
modernbert
mlm
long-context
rope
yarn
semantic-router
mixture-of-models
Eval Results (legacy)
Instructions to use llm-semantic-router/mmbert-32k-yarn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llm-semantic-router/mmbert-32k-yarn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="llm-semantic-router/mmbert-32k-yarn")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("llm-semantic-router/mmbert-32k-yarn") model = AutoModelForMaskedLM.from_pretrained("llm-semantic-router/mmbert-32k-yarn") - Notebooks
- Google Colab
- Kaggle
Ctrl+K