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:
- 967bbed6679988948f5b5cac49a2be04874add78d6ee8a69a092fed499dbedbe
- Size of remote file:
- 3.13 GB
- SHA256:
- c9f7f2998348b907a07f2221fbc4019981d83b1b6245556a76d83dc90664574d
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