Text Classification
Transformers
Safetensors
qwen3_5
image-text-to-text
decision-model
self-hosted
merged
selfjev
Instructions to use Jwuthrich/selfjev-4b-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jwuthrich/selfjev-4b-merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jwuthrich/selfjev-4b-merged")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Jwuthrich/selfjev-4b-merged") model = AutoModelForMultimodalLM.from_pretrained("Jwuthrich/selfjev-4b-merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/latency-data.json from Jwuthrich/selfjev-4b-merged: direct link, hf CLI and curl.
- Browser
- Download file 21.6 kB
-
https://huggingface.co/Jwuthrich/selfjev-4b-merged/resolve/main/assets/latency-data.json
- Command line
-
hf download hf://Jwuthrich/selfjev-4b-merged/assets/latency-data.json
-
curl -L -o latency-data.json https://huggingface.co/Jwuthrich/selfjev-4b-merged/resolve/main/assets/latency-data.json
21.6 kB
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| { | |
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| { | |
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| { | |
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| "mac_meta": { | |
| "date": "2026-09-28", | |
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| "scope": "Different models and engines. No current-model NVIDIA measurement. No new inference." | |
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