Instructions to use KantoRegion/bert-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KantoRegion/bert-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KantoRegion/bert-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KantoRegion/bert-test") model = AutoModelForSequenceClassification.from_pretrained("KantoRegion/bert-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 234 Bytes
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language:
- en
---
This model evaluates if character wants to send an image to user right now.
### [input]
```
{user's text}
{character's text}
```
(two value should be separated with newline)
### [output]
```
1: yes
0: no
``` |