Translation
Transformers
Safetensors
English
Chinese
qwen2
text-generation
text-generation-inference
Instructions to use Mxode/NanoTranslator-M2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mxode/NanoTranslator-M2 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="Mxode/NanoTranslator-M2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Mxode/NanoTranslator-M2") model = AutoModelForCausalLM.from_pretrained("Mxode/NanoTranslator-M2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba6b04fdbfb36f2ad4d7c7f082e1b690aeb1bd38d22aaa26e429f938e4a33dfa
- Size of remote file:
- 90.6 MB
- SHA256:
- a4329e7f733b180e2d0ca995fd2ca386fa0555a0bd555883f54f80761e484711
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