Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use chamdentimem/ViT5_Machine_Translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chamdentimem/ViT5_Machine_Translation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chamdentimem/ViT5_Machine_Translation") model = AutoModelForSeq2SeqLM.from_pretrained("chamdentimem/ViT5_Machine_Translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14a13040caf24235fc3c9ab19f8b36d1e421b802b4413ce249a1e86b57128f5f
- Size of remote file:
- 904 MB
- SHA256:
- 9d56ef36a7b292e3cc0f8eae5299593f127f1ea3368fc4bf3ef06edf4d38ba6c
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