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
Download flax_model.msgpack from bowphs/GreTa: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/bowphs/GreTa/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://bowphs/GreTa/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/bowphs/GreTa/resolve/main/flax_model.msgpack
990 MB
- Xet hash:
- 5a6513bc376172b6cc2db40d527844d4a91a8b398bed0f7031245125abe9b54e
- Size of remote file:
- 990 MB
- SHA256:
- e83b68b042e448cdb0e6282548340bf4293934e3ccb5132a0083d94396809cdc
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