Fill-Mask
Transformers
Safetensors
English
modernbert
diffusion
masked-language-model
text-generation
Instructions to use Ayushnangia/mb-diff-1000step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayushnangia/mb-diff-1000step with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Ayushnangia/mb-diff-1000step")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Ayushnangia/mb-diff-1000step") model = AutoModelForMaskedLM.from_pretrained("Ayushnangia/mb-diff-1000step", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %} |