Instructions to use tencent/Hunyuan-MT-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Hunyuan-MT-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-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tencent/Hunyuan-MT-7B") model = AutoModelForCausalLM.from_pretrained("tencent/Hunyuan-MT-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update generation_config.json
Browse files- generation_config.json +1 -1
generation_config.json
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@@ -6,5 +6,5 @@
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"top_p": 0.6,
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"transformers_version": "4.
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}
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"top_p": 0.6,
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"transformers_version": "4.56.0"
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}
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