Instructions to use kchitresh/flan_t5_samsum_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kchitresh/flan_t5_samsum_finetuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kchitresh/flan_t5_samsum_finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("kchitresh/flan_t5_samsum_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:
Rouge1: 47.4754
Rouge2: 23.8248
RougeL: 40.1067
RougeLsum : 43.5375
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