Summarization
Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use autoevaluate/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autoevaluate/summarization 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="autoevaluate/summarization")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("autoevaluate/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("autoevaluate/summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from autoevaluate/summarization: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/autoevaluate/summarization/resolve/main/.gitignore
- Command line
-
hf download hf://autoevaluate/summarization/.gitignore
-
curl -L -o .gitignore https://huggingface.co/autoevaluate/summarization/resolve/main/.gitignore
13 Bytes
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