Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use yeye776/t5-brokarry-total-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeye776/t5-brokarry-total-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yeye776/t5-brokarry-total-v2") model = AutoModelForSeq2SeqLM.from_pretrained("yeye776/t5-brokarry-total-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57b0c6d537d55baf90c9a735059096332b5dc5081c4590a3dddf36d118c05e61
- Size of remote file:
- 3.28 GB
- SHA256:
- c493e61b8c8df5d93995a8d5e7bd9ebbbd5d89308b319885b4932a1542b1c1b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.