Instructions to use JorgeSarry/est5-summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JorgeSarry/est5-summarize with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JorgeSarry/est5-summarize") model = AutoModelForSeq2SeqLM.from_pretrained("JorgeSarry/est5-summarize") - Notebooks
- Google Colab
- Kaggle
Quick Links
This is a smaller version of the google/mt5-base model with only Spanish and some English embeddings trained on 60k Spanish MLSum for summarization.
You can use it with the command "summarize:"
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JorgeSarry/est5-summarize") model = AutoModelForSeq2SeqLM.from_pretrained("JorgeSarry/est5-summarize")