Instructions to use tencent/Hunyuan-MT-Chimera-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Hunyuan-MT-Chimera-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-Chimera-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tencent/Hunyuan-MT-Chimera-7B") model = AutoModelForCausalLM.from_pretrained("tencent/Hunyuan-MT-Chimera-7B") - Notebooks
- Google Colab
- Kaggle
Tensor Parallel?
#3
by Chumenta - opened
Look like this model not support Tensor Parallel or Pipeline Parallel, pretty bad, does we have some way to make it?
It does support it on VLLM. You just have to follow the instructions on the github repo for Hunyuan-MT. You have to install a special version of transformers from a commit and update VLLM.