Instructions to use twieland/SCRATCH_ja-en_helsinki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use twieland/SCRATCH_ja-en_helsinki with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("twieland/SCRATCH_ja-en_helsinki") model = AutoModelForSeq2SeqLM.from_pretrained("twieland/SCRATCH_ja-en_helsinki") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,6 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
- Loss: 1.5583
|
|
|
|
|
|
|
|
|
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 15 |
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
- Loss: 1.5583
|
| 18 |
+
- Otaku Benchmark VN BLEU: 19.12
|
| 19 |
+
- Otaku Benchmark LN BLEU: 11.55
|
| 20 |
+
- Otaku Benchmark MANGA BLEU: 12.98
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|