Sentence Similarity
Transformers
PyTorch
Chinese
bert
feature-extraction
PEG
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use TownsWu/PEG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TownsWu/PEG with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("TownsWu/PEG") model = AutoModel.from_pretrained("TownsWu/PEG") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#7 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#6 opened almost 2 years ago
by
SFconvertbot
Ablations with InfoNCE
1
#5 opened about 2 years ago
by
tomaarsen
为什么和论文的C_MTEB retrieval 指标对不上?
1
#4 opened about 2 years ago
by
Chrislu
请问怎么使用HuggingFaceEmbeddings 来进行embedding
2
#2 opened over 2 years ago
by
evan209