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
File size: 364 Bytes
26de23c | 1 2 3 4 5 6 7 8 9 10 11 | {
"repo": "AlexWortega/openjev",
"revision": "058a6c24911b46d908fbe23541390f8af3df3e4d",
"path": "code/sglang_openjev",
"verified_identical_to_local": true,
"sha256": {
"__init__.py": "1689603cf155825aabaaeaf04a59d03e3ea8ba1665fe0a4a07007d6438d8b8f4",
"qwen3_5_seqcls.py": "85d9eb569862510c2a4cb6fb20004d2fee8418f83defa0e69f76a9d9f9484419"
}
}
|