Instructions to use tencent/Hunyuan-MT-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Hunyuan-MT-7B 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="tencent/Hunyuan-MT-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tencent/Hunyuan-MT-7B") model = AutoModelForCausalLM.from_pretrained("tencent/Hunyuan-MT-7B") - Notebooks
- Google Colab
- Kaggle
Update README.md
#16
by Nickyang - opened
README.md
CHANGED
|
@@ -59,10 +59,6 @@ language:
|
|
| 59 |
<a href="https://www.arxiv.org/abs/2509.05209"><b>Technical Report</b></a>
|
| 60 |
</p>
|
| 61 |
|
| 62 |
-
<p align="center">
|
| 63 |
-
|
| 64 |
-
</p>
|
| 65 |
-
|
| 66 |
|
| 67 |
## Model Introduction
|
| 68 |
|
|
|
|
| 59 |
<a href="https://www.arxiv.org/abs/2509.05209"><b>Technical Report</b></a>
|
| 60 |
</p>
|
| 61 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 62 |
|
| 63 |
## Model Introduction
|
| 64 |
|