Instructions to use ilhami/Tr_En_AcademicTranslation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilhami/Tr_En_AcademicTranslation 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="ilhami/Tr_En_AcademicTranslation")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ilhami/Tr_En_AcademicTranslation") model = AutoModelForSeq2SeqLM.from_pretrained("ilhami/Tr_En_AcademicTranslation") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
---
|
| 2 |
language:
|
| 3 |
-
-
|
| 4 |
- en
|
| 5 |
tags:
|
| 6 |
- translation
|
| 7 |
license: apache-2.0
|
| 8 |
datasets:
|
| 9 |
-
-
|
| 10 |
metrics:
|
| 11 |
- bleu
|
| 12 |
- sacrebleu
|
|
|
|
| 1 |
---
|
| 2 |
language:
|
| 3 |
+
- tr
|
| 4 |
- en
|
| 5 |
tags:
|
| 6 |
- translation
|
| 7 |
license: apache-2.0
|
| 8 |
datasets:
|
| 9 |
+
- Parallel Corpora for Turkish-English Academic Translations
|
| 10 |
metrics:
|
| 11 |
- bleu
|
| 12 |
- sacrebleu
|