Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use spacemanidol/flan-t5-large-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spacemanidol/flan-t5-large-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("spacemanidol/flan-t5-large-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("spacemanidol/flan-t5-large-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bbfa12aa68f61964d0ba1b92af799ba7decab9cb153577308691be362119e66
- Size of remote file:
- 3.13 GB
- SHA256:
- 386e719db1163cc78a0092cb9925c938bce3b8ed2d60b7749798fa95e7939bb2
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