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:
- 30ee978f119320cbbd944cfd6cca16775b5260e25c9a05713d4daa78196ffd89
- Size of remote file:
- 3.18 kB
- SHA256:
- 2407a5b2436351f25c6278364b4b1c8b39e964edcf25cd86d710b0eb0ffa6ac5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.