Transformers
PyTorch
TensorBoard
t5
text2text-generation
text2textgeneration
Generated from Trainer
text-generation-inference
Instructions to use Varshitha/flan-t5-small-finetune-medicine-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Varshitha/flan-t5-small-finetune-medicine-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Varshitha/flan-t5-small-finetune-medicine-v2") model = AutoModelForSeq2SeqLM.from_pretrained("Varshitha/flan-t5-small-finetune-medicine-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8e8ae786b966f8fbd34f68ad505bd6913d4243cd7c1f6968b91bfd880c7b6af
- Size of remote file:
- 308 MB
- SHA256:
- d90f2bae34f5fa752f0fdfa7acfd4e6b035d049d397ba09aa378171603f04342
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.