Transformers
Safetensors
Indonesian
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use apwic/summarization-base-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apwic/summarization-base-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("apwic/summarization-base-2") model = AutoModelForSeq2SeqLM.from_pretrained("apwic/summarization-base-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from apwic/summarization-base-2: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/apwic/summarization-base-2/resolve/main/training_args.bin
- Command line
-
hf download hf://apwic/summarization-base-2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/apwic/summarization-base-2/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- db6c5513d167a99e240b0456a4b9e36a2cebb1798d80b40e39ee752ffd3fd9bd
- Size of remote file:
- 5.18 kB
- SHA256:
- d45d25e293ad8adfd837bc85d3ed2e8d7cb4d195f5e24a1a0a759ce60e649abc
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