Summarization
Transformers
PyTorch
TensorBoard
English
pegasus
text2text-generation
Generated from Trainer
Instructions to use ChaniM/tst-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChaniM/tst-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="ChaniM/tst-summarization")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ChaniM/tst-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("ChaniM/tst-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 89000
Browse files
pytorch_model.bin
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runs/Jun07_12-01-07_third-p100-tf/events.out.tfevents.1686139290.third-p100-tf.2977.0
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