Text Classification
Transformers
Safetensors
English
nli
cross-encoder
qwen3.5
reranker
image-text-to-text
Instructions to use AlexWortega/openjev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexWortega/openjev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlexWortega/openjev")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlexWortega/openjev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/radar_openjev.png from AlexWortega/openjev: direct link, hf CLI and curl.
- Browser
- Download file 363 kB
-
https://huggingface.co/AlexWortega/openjev/resolve/main/assets/radar_openjev.png
- Command line
-
hf download hf://AlexWortega/openjev/assets/radar_openjev.png
-
curl -L -o radar_openjev.png https://huggingface.co/AlexWortega/openjev/resolve/main/assets/radar_openjev.png
363 kB

- Xet hash:
- f4db7ef2585a0c4395b527d760d6a24afff83659a53f7a8c7fab53b5b46693f6
- Size of remote file:
- 363 kB
- SHA256:
- b2f73ebfe9f7d85daf20422a9b6fdd3eba7c1bac83d216ac5d662d35fcf9aac9
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