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 code/serving/sglang_openjev/HF_SOURCE.json from AlexWortega/openjev: direct link, hf CLI and curl.
- Browser
- Download file 364 Bytes
-
https://huggingface.co/AlexWortega/openjev/resolve/main/code/serving/sglang_openjev/HF_SOURCE.json
- Command line
-
hf download hf://AlexWortega/openjev/code/serving/sglang_openjev/HF_SOURCE.json
-
curl -L -o HF_SOURCE.json https://huggingface.co/AlexWortega/openjev/resolve/main/code/serving/sglang_openjev/HF_SOURCE.json
364 Bytes
| { | |
| "repo": "AlexWortega/openjev", | |
| "revision": "058a6c24911b46d908fbe23541390f8af3df3e4d", | |
| "path": "code/sglang_openjev", | |
| "verified_identical_to_local": true, | |
| "sha256": { | |
| "__init__.py": "1689603cf155825aabaaeaf04a59d03e3ea8ba1665fe0a4a07007d6438d8b8f4", | |
| "qwen3_5_seqcls.py": "85d9eb569862510c2a4cb6fb20004d2fee8418f83defa0e69f76a9d9f9484419" | |
| } | |
| } | |