Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Safetensors
mt5
text2text-generation
Generated from Trainer
Instructions to use kazandaev/mt5-base-en-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kazandaev/mt5-base-en-ru with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kazandaev/mt5-base-en-ru") model = AutoModelForSeq2SeqLM.from_pretrained("kazandaev/mt5-base-en-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af4119956d2fe6f7b767c12eca91c45e0b290dbb97022688d20efd773e91202c
- Size of remote file:
- 2.33 GB
- SHA256:
- 0058f414236e50d6e5fdb4821ca8b1249409ad8d92d85f8be79e4a44078402bb
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