Text Classification
Transformers
PyTorch
Transformers.js
multilingual
reranker
cross-encoder
custom_code
Instructions to use teslov/reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teslov/reranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="teslov/reranker", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("teslov/reranker", trust_remote_code=True, dtype="auto") - Transformers.js
How to use teslov/reranker with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'teslov/reranker'); - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking` and tags to `sentence-transformers`
#1
by tomaarsen HF Staff - opened
README.md
CHANGED
|
@@ -1,10 +1,11 @@
|
|
| 1 |
---
|
| 2 |
-
pipeline_tag: text-
|
| 3 |
tags:
|
| 4 |
- transformers
|
| 5 |
- reranker
|
| 6 |
- cross-encoder
|
| 7 |
- transformers.js
|
|
|
|
| 8 |
language:
|
| 9 |
- multilingual
|
| 10 |
inference: false
|
|
|
|
| 1 |
---
|
| 2 |
+
pipeline_tag: text-ranking
|
| 3 |
tags:
|
| 4 |
- transformers
|
| 5 |
- reranker
|
| 6 |
- cross-encoder
|
| 7 |
- transformers.js
|
| 8 |
+
- sentence-transformers
|
| 9 |
language:
|
| 10 |
- multilingual
|
| 11 |
inference: false
|