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")
# pip install -U transformers accelerate # 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")
https://huggingface.co/Ayushnangia/mb-diff-1000step/resolve/main/tokenizer.json
hf download hf://Ayushnangia/mb-diff-1000step/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Ayushnangia/mb-diff-1000step/resolve/main/tokenizer.json
