Translation
Transformers
Safetensors
English
Chinese
llama
text-generation
text-generation-inference
Instructions to use Mxode/NanoTranslator-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mxode/NanoTranslator-S 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-S")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Mxode/NanoTranslator-S") model = AutoModelForCausalLM.from_pretrained("Mxode/NanoTranslator-S", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3d7865762b9d26f306084abb6a1a24e1c70cde39fd3319aa83be3119c7e074b
- Size of remote file:
- 36.4 MB
- SHA256:
- 03231736c84087bc4a26cce8818e53ec641adccaef3a300b765d40030dc8756d
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