Instructions to use NiuTrans/LMT-60-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NiuTrans/LMT-60-8B 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-60-8B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("NiuTrans/LMT-60-8B") model = AutoModelForCausalLM.from_pretrained("NiuTrans/LMT-60-8B") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 151643, | |
| "eos_token_id": [ | |
| 151643, | |
| 151645 | |
| ], | |
| "max_new_tokens": 2048, | |
| "transformers_version": "4.57.3" | |
| } | |