Instructions to use tencent/Hy-MT2-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Hy-MT2-7B 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="tencent/Hy-MT2-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tencent/Hy-MT2-7B") model = AutoModelForCausalLM.from_pretrained("tencent/Hy-MT2-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 430ecb711f8931c1f4edcba655c8167b5ec772fafd369e4e14b66a75121da77d
- Size of remote file:
- 16.4 MB
- SHA256:
- 4185389a69284fdd3ebf737c6120bbeee36cbed9763151fa5bac5986a39e05d4
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