How to use alphaedge-ai/mt5-base-dan-32768 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alphaedge-ai/mt5-base-dan-32768")
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alphaedge-ai/mt5-base-dan-32768") model = AutoModelForSeq2SeqLM.from_pretrained("alphaedge-ai/mt5-base-dan-32768", device_map="auto")
https://huggingface.co/alphaedge-ai/mt5-base-dan-32768/resolve/main/tokenizer_config.json
hf download hf://alphaedge-ai/mt5-base-dan-32768/tokenizer_config.json
curl -L -o tokenizer_config.json https://huggingface.co/alphaedge-ai/mt5-base-dan-32768/resolve/main/tokenizer_config.json
