Instructions to use GanjinZero/coder_eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GanjinZero/coder_eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GanjinZero/coder_eng")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GanjinZero/coder_eng") model = AutoModel.from_pretrained("GanjinZero/coder_eng") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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CODER: Knowledge infused cross-lingual medical term embedding for term normalization.
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English Version.
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```
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@article{YUAN2022103983,
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title = {CODER: Knowledge-infused cross-lingual medical term embedding for term normalization},
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CODER: Knowledge infused cross-lingual medical term embedding for term normalization.
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English Version.
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Github Link: https://github.com/GanjinZero/CODER
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```
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@article{YUAN2022103983,
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title = {CODER: Knowledge-infused cross-lingual medical term embedding for term normalization},
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