Translation
Transformers
Safetensors
Chinese
Vietnamese
marian
text2text-generation
zh-vi
chinese-vietnamese
marianmt
machine-translation
Instructions to use ngocdang83/HachimiMT-30-zh-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ngocdang83/HachimiMT-30-zh-vi 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="ngocdang83/HachimiMT-30-zh-vi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ngocdang83/HachimiMT-30-zh-vi") model = AutoModelForSeq2SeqLM.from_pretrained("ngocdang83/HachimiMT-30-zh-vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -12,7 +12,7 @@ tags:
|
|
| 12 |
library_name: transformers
|
| 13 |
base_model: none
|
| 14 |
datasets:
|
| 15 |
-
-
|
| 16 |
---
|
| 17 |
|
| 18 |
# Hachimi MT 30 zh-vi
|
|
|
|
| 12 |
library_name: transformers
|
| 13 |
base_model: none
|
| 14 |
datasets:
|
| 15 |
+
- chi-vi/hirashiba-mt-zh2vi-b-filtered
|
| 16 |
---
|
| 17 |
|
| 18 |
# Hachimi MT 30 zh-vi
|