Instructions to use DVillada/T5_fine_tunning_NLP_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DVillada/T5_fine_tunning_NLP_test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DVillada/T5_fine_tunning_NLP_test") model = AutoModelForSeq2SeqLM.from_pretrained("DVillada/T5_fine_tunning_NLP_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
In this example model, I want to test how to summarize a short text due a very very small corpus of data used to train it. The data contains two columns: Text and Summary. This model was created in python through Google Colab interface, with the hugging face librarys for this task.
Diego Villada
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