Translation
Transformers
PyTorch
English
Romanian
mt5
text2text-generation
wmt16
Lvxue
Eval Results (legacy)
Instructions to use Lvxue/finetuned-mt5-small-10epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lvxue/finetuned-mt5-small-10epoch with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Lvxue/finetuned-mt5-small-10epoch")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Lvxue/finetuned-mt5-small-10epoch") model = AutoModelForSeq2SeqLM.from_pretrained("Lvxue/finetuned-mt5-small-10epoch") - Notebooks
- Google Colab
- Kaggle
File size: 198 Bytes
71bcc40 | 1 2 3 4 5 6 7 8 | {
"epoch": 10.0,
"train_loss": 1.219492632603017,
"train_runtime": 160361.9384,
"train_samples": 610320,
"train_samples_per_second": 38.059,
"train_steps_per_second": 0.793
} |