Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use jtlicardo/flan-t5-small-coref with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jtlicardo/flan-t5-small-coref with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jtlicardo/flan-t5-small-coref") model = AutoModelForSeq2SeqLM.from_pretrained("jtlicardo/flan-t5-small-coref", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adb7ed1b88ea19a2c74c27cb8708db93f78933a1bf3ae278909603211707f0f1
- Size of remote file:
- 308 MB
- SHA256:
- a683185dca741b09af0fd620b5ad43c390b9e2ab5298c8709d076f751e360e08
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