|
--- |
|
license: apache-2.0 |
|
tags: |
|
- setfit |
|
- sentence-transformers |
|
- text-classification |
|
pipeline_tag: text-classification |
|
--- |
|
|
|
# /var/folders/lm/k69sycyx5538ldsk5n0ln5000000gn/T/tmp7vmgfud9/killshot977/intents-setfit-model |
|
|
|
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves: |
|
|
|
1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning. |
|
2. Training a classification head with features from the fine-tuned Sentence Transformer. |
|
|
|
## Usage |
|
|
|
To use this model for inference, first install the SetFit library: |
|
|
|
```bash |
|
python -m pip install setfit |
|
``` |
|
|
|
You can then run inference as follows: |
|
|
|
```python |
|
from setfit import SetFitModel |
|
|
|
# Download from Hub and run inference |
|
model = SetFitModel.from_pretrained("/var/folders/lm/k69sycyx5538ldsk5n0ln5000000gn/T/tmp7vmgfud9/killshot977/intents-setfit-model") |
|
# Run inference |
|
preds = model(["I want to tour this community","do you have a 1 bedroom", "what is your availability", "can i visit this place?", "you really did me a solid!"]) |
|
print(preds) |
|
``` |
|
|
|
|
