Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Plasmoxy/flan-t5-small-gigatrue-layercut-D5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Plasmoxy/flan-t5-small-gigatrue-layercut-D5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Plasmoxy/flan-t5-small-gigatrue-layercut-D5") model = AutoModelForSeq2SeqLM.from_pretrained("Plasmoxy/flan-t5-small-gigatrue-layercut-D5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfc844289a71d3d61a70ea8b430a54b8acea7319487bf8362744b081f6089273
- Size of remote file:
- 5.37 kB
- SHA256:
- 3a4fd8bbafcb81ccfedea8b90ba085696385f68bf6865ca6561b83826fddb806
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.