Instructions to use sumedh/t5-base-amazonreviews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sumedh/t5-base-amazonreviews 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="sumedh/t5-base-amazonreviews")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sumedh/t5-base-amazonreviews") model = AutoModelForSeq2SeqLM.from_pretrained("sumedh/t5-base-amazonreviews", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- en
datasets:
- amazon_reviews_multi
tags:
- summarization
license: apache-2.0
T5-base model for text summarization finetuned on subset of amazon reviews for english language.
Rouge scores
- Rouge 1 : 0.5019
- Rouge 2 : 0.4226
- Rouge L : 0.4877
- Rouge Lsum : 0.4877