Transformers
PyTorch
TensorFlow
JAX
Safetensors
Ancient Greek (to 1453)
t5
text2text-generation
text-generation-inference
Instructions to use bowphs/GreTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bowphs/GreTa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bowphs/GreTa") model = AutoModelForSeq2SeqLM.from_pretrained("bowphs/GreTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7024a7ba87a3ea3d7ceae5042db83383908427aaf80b5514f660c5183c049f2
- Size of remote file:
- 990 MB
- SHA256:
- e39718365d83115e51f1ab7a2c501ea5e2ae259a162e25ac5cd20efbef9dd92f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.