Text Classification
sentence-transformers
PyTorch
Transformers
xlm-roberta
text-embeddings-inference
Instructions to use maidalun1020/bce-reranker-base_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use maidalun1020/bce-reranker-base_v1 with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("maidalun1020/bce-reranker-base_v1") query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores) - Transformers
How to use maidalun1020/bce-reranker-base_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maidalun1020/bce-reranker-base_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maidalun1020/bce-reranker-base_v1") model = AutoModelForSequenceClassification.from_pretrained("maidalun1020/bce-reranker-base_v1", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#14 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#13 opened over 1 year ago
by
SFconvertbot
Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers`
#12 opened over 1 year ago
by
tomaarsen
How to use rerank model in langchain?
1
#11 opened almost 2 years ago
by
Deforb
Adding `safetensors` variant of this model
#9 opened almost 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#8 opened almost 2 years ago
by
SFconvertbot
这个词表也太大了吧,参数全在embedding上
#6 opened over 2 years ago
by
yutianCCNU
这个模型可以微调么,有没有微调的示例代码
3
#5 opened over 2 years ago
by
biaodiluer
Error running it with chatpdf
2
#3 opened over 2 years ago
by
protoivan
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot