Instructions to use Gowreesh234/flan-t5-base-finetuned-dialougesum-en-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gowreesh234/flan-t5-base-finetuned-dialougesum-en-es with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Gowreesh234/flan-t5-base-finetuned-dialougesum-en-es") model = AutoModelForSeq2SeqLM.from_pretrained("Gowreesh234/flan-t5-base-finetuned-dialougesum-en-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c08b34d9304eec856d82048949c64e7f2129a03dfd273258239e1efd8711ff8c
- Size of remote file:
- 5.11 kB
- SHA256:
- 16d9dcd824fb641405b2e73af3f8d9fcd23d3c320138f91792bf28237d32b307
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