How to use alphaedge-ai/mt5-small-ces-16384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alphaedge-ai/mt5-small-ces-16384")
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alphaedge-ai/mt5-small-ces-16384") model = AutoModelForSeq2SeqLM.from_pretrained("alphaedge-ai/mt5-small-ces-16384")
