Instructions to use tencent/Hunyuan-MT-Chimera-7B-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Hunyuan-MT-Chimera-7B-fp8 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-fp8")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tencent/Hunyuan-MT-Chimera-7B-fp8") model = AutoModelForCausalLM.from_pretrained("tencent/Hunyuan-MT-Chimera-7B-fp8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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#3 opened 12 months ago
by
nielsr
可以给一个python使用fp8的例子吗?
2
#2 opened 12 months ago
by
tarjintor