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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("tencent/Hunyuan-MT-Chimera-7B") model = AutoModelForMultimodalLM.from_pretrained("tencent/Hunyuan-MT-Chimera-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb5ce296ad181f42ead6c0b71c11659706ce857f409a1dc027eb0ded3ffa72f4
- Size of remote file:
- 5.35 GB
- SHA256:
- 2b52fe767c0a60a2c015d454497f2ef4780dabd2a9e8ffb6018671b3b2ef92d9
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