Summarization
Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use vmkhoa2000/text_summarization-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vmkhoa2000/text_summarization-cnn 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="vmkhoa2000/text_summarization-cnn")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vmkhoa2000/text_summarization-cnn") model = AutoModelForSeq2SeqLM.from_pretrained("vmkhoa2000/text_summarization-cnn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vmkhoa2000/text_summarization-cnn: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/vmkhoa2000/text_summarization-cnn/resolve/main/training_args.bin
- Command line
-
hf download hf://vmkhoa2000/text_summarization-cnn/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vmkhoa2000/text_summarization-cnn/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 0cb1e4cb623012af2bcf70de42675c3fa7a036ba98453bff2f0769e95904d146
- Size of remote file:
- 5.05 kB
- SHA256:
- 66060033b11814acabb976b80734c02d97d0892992108a0a65ab4201d4197452
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