Instructions to use NiuTrans/LMT-60-0.6B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NiuTrans/LMT-60-0.6B-Base 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="NiuTrans/LMT-60-0.6B-Base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("NiuTrans/LMT-60-0.6B-Base") model = AutoModelForCausalLM.from_pretrained("NiuTrans/LMT-60-0.6B-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from NiuTrans/LMT-60-0.6B-Base: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/NiuTrans/LMT-60-0.6B-Base/resolve/main/vocab.json
- Command line
-
hf download hf://NiuTrans/LMT-60-0.6B-Base/vocab.json
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curl -L -o vocab.json https://huggingface.co/NiuTrans/LMT-60-0.6B-Base/resolve/main/vocab.json
2.78 MB
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