Transformers
Safetensors
Indonesian
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use apwic/summarization-base-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apwic/summarization-base-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("apwic/summarization-base-3") model = AutoModelForSeq2SeqLM.from_pretrained("apwic/summarization-base-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 332 Bytes
e2fce33 fd78fc9 e2fce33 fd78fc9 e2fce33 fd78fc9 e2fce33 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"predict_gen_len": 1.0,
"predict_loss": 0.735045850276947,
"predict_rouge1": 0.4235,
"predict_rouge2": 0.0,
"predict_rougeL": 0.4232,
"predict_rougeLsum": 0.4234,
"predict_runtime": 2255.8566,
"predict_samples": 3752,
"predict_samples_per_second": 1.663,
"predict_steps_per_second": 0.052
} |