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
Update README.md
#10 opened 9 months ago
by
Nickyang
Add `pipeline_tag`, `license`, paper abstract, and expand model card with GitHub README content
#9 opened 9 months ago
by
nielsr
Question on WMT25 / Chimera
4
#5 opened 9 months ago
by
vince62s
Tensor Parallel?
1
#3 opened 9 months ago
by
Chumenta
Including other languages?
#2 opened 9 months ago
by
ajtakto
List of 33 languages?
👍 1
2
#1 opened 9 months ago
by
Alex805