How to use from the
Use from the
Transformers library
# 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")
Quick Links

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}
}
Downloads last month
1,273
Safetensors
Model size
0.1B params
Tensor type
I64
·
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Paper for GanjinZero/coder_eng_pp