Instructions to use apwic/summarization-base-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apwic/summarization-base-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("apwic/summarization-base-1") model = AutoModel.from_pretrained("apwic/summarization-base-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download predict_results.json from apwic/summarization-base-1: direct link, hf CLI and curl.
- Browser
- Download file 332 Bytes
-
https://huggingface.co/apwic/summarization-base-1/resolve/main/predict_results.json
- Command line
-
hf download hf://apwic/summarization-base-1/predict_results.json
-
curl -L -o predict_results.json https://huggingface.co/apwic/summarization-base-1/resolve/main/predict_results.json
332 Bytes
| { | |
| "predict_gen_len": 1.0, | |
| "predict_loss": 0.5186858773231506, | |
| "predict_rouge1": 0.3965, | |
| "predict_rouge2": 0.0, | |
| "predict_rougeL": 0.3973, | |
| "predict_rougeLsum": 0.395, | |
| "predict_runtime": 1676.8581, | |
| "predict_samples": 3762, | |
| "predict_samples_per_second": 2.243, | |
| "predict_steps_per_second": 0.281 | |
| } |