Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use yeye776/t5-brokarry-total-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeye776/t5-brokarry-total-v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yeye776/t5-brokarry-total-v3") model = AutoModelForSeq2SeqLM.from_pretrained("yeye776/t5-brokarry-total-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b231578b7b0cd7bcfa049e8b611aee4b96708e03d0ecaeb242cfbc3939fd591
- Size of remote file:
- 4.73 kB
- SHA256:
- 1febf3454137d496c0f2be952692d6c132b0fbe98726507c0ce360ea2068094b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.