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
update
Browse files- result.log +1 -0
- trainer_state.json +0 -0
result.log
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{'train_runtime': 6248.9664, 'train_samples_per_second': 1585.426, 'train_steps_per_second': 1.548, 'train_loss': 1.3197385580789063, 'epoch': 1.0}
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trainer_state.json
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