Instructions to use NiuTrans/LMT-60-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NiuTrans/LMT-60-0.6B 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")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("NiuTrans/LMT-60-0.6B") model = AutoModelForCausalLM.from_pretrained("NiuTrans/LMT-60-0.6B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8eb6e72aef9ccdd1e7661cc60be65eaf6cc01ca227afc8f1cc7edc83c3cb438b
- Size of remote file:
- 1.5 GB
- SHA256:
- c48c3b8d7b04d3c6e56452fa51ddefc03921043b0f70641cb80c5d3ac71b73e6
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