Transformers
Safetensors
English
t5
text2text-generation
dialogue
conversation-generator
flan-t5-base
fine-tuned
text-generation-inference
Instructions to use Omaratef3221/flan-t5-base-dialogue-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Omaratef3221/flan-t5-base-dialogue-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Omaratef3221/flan-t5-base-dialogue-generator") model = AutoModelForSeq2SeqLM.from_pretrained("Omaratef3221/flan-t5-base-dialogue-generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3d0de0374fcc69612bfed8aed235cc6cf2171849972ab846c24f976d8104958
- Size of remote file:
- 4.86 kB
- SHA256:
- 64fe9f125083ae622fe958b63db60ed053303d280b59f39bf6ac62db7956271a
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