Transformers
PyTorch
TensorBoard
Spanish
t5
text2text-generation
simplification
Generated from Trainer
text-generation-inference
Instructions to use CLARA-MeD/flan-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLARA-MeD/flan-t5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CLARA-MeD/flan-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("CLARA-MeD/flan-t5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff2009cf906f9235351493e65a8d3ef6d9baa9b8a26b8dc7ae975ddd9d9b5054
- Size of remote file:
- 3.13 GB
- SHA256:
- 78eb5382c0fbbe3803c355c1084dae4caf517a6c725667af26be73a494d1668c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.