Instructions to use GanjinZero/coder_eng_pp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GanjinZero/coder_eng_pp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GanjinZero/coder_eng_pp")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GanjinZero/coder_eng_pp") model = AutoModel.from_pretrained("GanjinZero/coder_eng_pp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - bert | |
| - biomedical | |
| Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations. | |
| CODER++ | |
| Github Link: https://github.com/GanjinZero/CODER | |
| ``` | |
| @misc{https://doi.org/10.48550/arxiv.2204.00391, | |
| doi = {10.48550/ARXIV.2204.00391}, | |
| url = {https://arxiv.org/abs/2204.00391}, | |
| author = {Zeng, Sihang and Yuan, Zheng and Yu, Sheng}, | |
| title = {Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations}, | |
| publisher = {arXiv}, | |
| year = {2022} | |
| } | |
| ``` |