How to use from the
Use from the
Transformers library
# 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="Turkish-NLP/t5-efficient-small-MLSUM-TR-fine-tuned")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("Turkish-NLP/t5-efficient-small-MLSUM-TR-fine-tuned")
model = AutoModelForSeq2SeqLM.from_pretrained("Turkish-NLP/t5-efficient-small-MLSUM-TR-fine-tuned")
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loss=2.16, v_num=1, train_loss_step=1.980, val_loss_step=1.050, val_loss_epoch=1.820, train_loss_epoch=2.060]

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Dataset used to train Turkish-NLP/t5-efficient-small-MLSUM-TR-fine-tuned

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