Summarization
Transformers
PyTorch
Safetensors
Japanese
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use p1atdev/t5-base-xlsum-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p1atdev/t5-base-xlsum-ja with Transformers:
# 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="p1atdev/t5-base-xlsum-ja")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("p1atdev/t5-base-xlsum-ja") model = AutoModelForSeq2SeqLM.from_pretrained("p1atdev/t5-base-xlsum-ja", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from p1atdev/t5-base-xlsum-ja: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/p1atdev/t5-base-xlsum-ja/resolve/main/training_args.bin
- Command line
-
hf download hf://p1atdev/t5-base-xlsum-ja/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/p1atdev/t5-base-xlsum-ja/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- d6abfd327e47d7ce7975e191a4f4cbcc3c1da66da2b262a918ad161b21a5b863
- Size of remote file:
- 4.16 kB
- SHA256:
- 06ccfb3c58c79fa647afb8d9b7bfb630027c74e689fc63d15a402203ee9c9708
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