Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use yeye776/t5-brokarry-total-v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeye776/t5-brokarry-total-v6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yeye776/t5-brokarry-total-v6") model = AutoModelForSeq2SeqLM.from_pretrained("yeye776/t5-brokarry-total-v6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f249f0c157929fb8e5a6e862234f3d7c0627216b2c08663d485a990b762132c
- Size of remote file:
- 4.73 kB
- SHA256:
- 749642426bee8f1f041f97b9b8c8e50d46a20f601df80f9e280d01e9c22f1bac
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.