Translation
Transformers
Safetensors
English
Chinese
llama
text-generation
text-generation-inference
Instructions to use Mxode/NanoTranslator-M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mxode/NanoTranslator-M 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-M")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Mxode/NanoTranslator-M") model = AutoModelForCausalLM.from_pretrained("Mxode/NanoTranslator-M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46450a725cb8b844979b5120badd0d738e898ec0e3a80e21d087cbe39fff9ab6
- Size of remote file:
- 87.9 MB
- SHA256:
- c3674af965868ab6f114c9def4b7deb7c216f68b3be55679e5c9e1eca1d270a3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.