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:
- 4c7f212b0c1e5e13f64e7d866595789eafb53464f7feafbfe33907e7e19292c5
- Size of remote file:
- 4.73 kB
- SHA256:
- 5e331998e029ec843ec62f72a06bc0e107946c940a07e3b9ed9b8e4ba91e95dc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.