Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use jtlicardo/flan-t5-large-coref with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jtlicardo/flan-t5-large-coref with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jtlicardo/flan-t5-large-coref") model = AutoModelForSeq2SeqLM.from_pretrained("jtlicardo/flan-t5-large-coref", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 400af583ce2007a541862836d65d5fa9240074297d79aaeb70b7add9b2246de1
- Size of remote file:
- 3.52 kB
- SHA256:
- ab36373fbc75b175ce122d9cbc63988f66cfc90fde784ad9e60e567a31b1df19
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