Instructions to use Helsinki-NLP/opus-mt-gem-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-gem-en 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="Helsinki-NLP/opus-mt-gem-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-gem-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-gem-en") - Notebooks
- Google Colab
- Kaggle
Add multilingual to the language tag
#1
by lbourdois - opened
README.md
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
---
|
| 2 |
-
language:
|
| 3 |
- da
|
| 4 |
- sv
|
| 5 |
- af
|
|
@@ -14,11 +14,10 @@ language:
|
|
| 14 |
- lb
|
| 15 |
- yi
|
| 16 |
- gem
|
| 17 |
-
|
|
|
|
| 18 |
tags:
|
| 19 |
- translation
|
| 20 |
-
|
| 21 |
-
license: apache-2.0
|
| 22 |
---
|
| 23 |
|
| 24 |
### gem-eng
|
|
|
|
| 1 |
---
|
| 2 |
+
language:
|
| 3 |
- da
|
| 4 |
- sv
|
| 5 |
- af
|
|
|
|
| 14 |
- lb
|
| 15 |
- yi
|
| 16 |
- gem
|
| 17 |
+
- multilingual
|
| 18 |
+
license: apache-2.0
|
| 19 |
tags:
|
| 20 |
- translation
|
|
|
|
|
|
|
| 21 |
---
|
| 22 |
|
| 23 |
### gem-eng
|