Instructions to use IDEA-CCNL/Randeng-Deltalm-362M-Zh-En with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Randeng-Deltalm-362M-Zh-En 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="IDEA-CCNL/Randeng-Deltalm-362M-Zh-En")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("IDEA-CCNL/Randeng-Deltalm-362M-Zh-En", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e3f24f9b502f81aedca1adc77587d1e224b579fb2e7eaa3580175964dd05d4f
- Size of remote file:
- 726 MB
- SHA256:
- 3663d17f0602f2e2ef32e2b12b2f000fed15e5da6d34d0262b360a2bcb872b17
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