Transformers
PyTorch
TensorBoard
English
Romanian
mt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use Lvxue/distilled-mt5-base-pseudo-labeling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lvxue/distilled-mt5-base-pseudo-labeling with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Lvxue/distilled-mt5-base-pseudo-labeling") model = AutoModelForSeq2SeqLM.from_pretrained("Lvxue/distilled-mt5-base-pseudo-labeling") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Add multilingual to the language tag
#1 opened over 3 years ago
by
lbourdois