Text Classification
sentence-transformers
PyTorch
Transformers
xlm-roberta
text-embeddings-inference
Instructions to use nitsuai/bce-reranker-base_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nitsuai/bce-reranker-base_v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nitsuai/bce-reranker-base_v1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use nitsuai/bce-reranker-base_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nitsuai/bce-reranker-base_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nitsuai/bce-reranker-base_v1") model = AutoModelForSequenceClassification.from_pretrained("nitsuai/bce-reranker-base_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers`
#1
by tomaarsen HF Staff - opened
README.md
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
-
pipeline_tag: text-
|
| 4 |
tags:
|
| 5 |
- transformers
|
| 6 |
- sentence-transformers
|
|
@@ -9,6 +9,7 @@ language:
|
|
| 9 |
- zh
|
| 10 |
- ja
|
| 11 |
- ko
|
|
|
|
| 12 |
---
|
| 13 |
<!--
|
| 14 |
* @Description:
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
+
pipeline_tag: text-ranking
|
| 4 |
tags:
|
| 5 |
- transformers
|
| 6 |
- sentence-transformers
|
|
|
|
| 9 |
- zh
|
| 10 |
- ja
|
| 11 |
- ko
|
| 12 |
+
library_name: sentence-transformers
|
| 13 |
---
|
| 14 |
<!--
|
| 15 |
* @Description:
|