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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlexWortega/openjev", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4df8e0ed3e0eae6da4a205d2c118b24e9a4199b55648634cd9303c29cd6f0f32
- Size of remote file:
- 427 kB
- SHA256:
- 16bbfabe93518fa1137ae93ec1ccbe8cfa072f98b0df727edd7633a490db6ab0
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