Instructions to use vente/t5-small-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vente/t5-small-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vente/t5-small-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("vente/t5-small-finetuned-xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 323e8947377738f2c369333ef97be6c085aa036a86bab2a4bd3154c0c24d48ac
- Size of remote file:
- 242 MB
- SHA256:
- 4c2a1dc7ef96e82f1e832b4afb014acafeee973c68a78110bb36e6296f510152
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