Transformers
Safetensors
Indonesian
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use apwic/summarization-base-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apwic/summarization-base-4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("apwic/summarization-base-4") model = AutoModelForSeq2SeqLM.from_pretrained("apwic/summarization-base-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 333 Bytes
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"predict_gen_len": 1.0,
"predict_loss": 0.7171599268913269,
"predict_rouge1": 0.4005,
"predict_rouge2": 0.0,
"predict_rougeL": 0.4002,
"predict_rougeLsum": 0.4013,
"predict_runtime": 2246.3882,
"predict_samples": 3761,
"predict_samples_per_second": 1.674,
"predict_steps_per_second": 0.053
} |