# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("yhavinga/mt5-base-cnn-nl")
model = AutoModelForSeq2SeqLM.from_pretrained("yhavinga/mt5-base-cnn-nl")Quick Links
YAML Metadata Error:"language[0]" with value "dutch" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.
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# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="yhavinga/mt5-base-cnn-nl")