Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use DipanAI/flan-T5_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DipanAI/flan-T5_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DipanAI/flan-T5_base") model = AutoModelForSeq2SeqLM.from_pretrained("DipanAI/flan-T5_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bddba577a96aa6ab07db9224cebdddda6bb28cd8087861ae623cd6cb860180b0
- Size of remote file:
- 510 MB
- SHA256:
- 262c7b231a9e761111580ffc6c4952d6e3437513de0b07b0d37ae879a2dff956
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