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
Model save
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1200721605
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:15aabaf5db26d0d61cc4d1831fa3cd3fefd643c2c9d03c3ac71291a42ec64546
|
| 3 |
size 1200721605
|