Instructions to use tencent/Hy-SimulMT-30B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Hy-SimulMT-30B-A3B 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/Hy-SimulMT-30B-A3B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tencent/Hy-SimulMT-30B-A3B") model = AutoModelForCausalLM.from_pretrained("tencent/Hy-SimulMT-30B-A3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Hy-SimulMT 30B, running locally as a text translator in a C++/CUDA engine
#4 opened 2 days ago
by
alexmv2025
Demo for this model on Spaces
1
#1 opened 7 days ago
by
multimodalart