How to use yhavinga/dmbert-230m-mc4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yhavinga/dmbert-230m-mc4")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("yhavinga/dmbert-230m-mc4") model = AutoModelForMaskedLM.from_pretrained("yhavinga/dmbert-230m-mc4", device_map="auto")
https://huggingface.co/yhavinga/dmbert-230m-mc4/resolve/main/tokenizer.json
hf download hf://yhavinga/dmbert-230m-mc4/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/yhavinga/dmbert-230m-mc4/resolve/main/tokenizer.json
