Zero-Shot Classification
Transformers
Safetensors
English
qwen3_5
feature-extraction
decision-model
calibration
system-1
local
Eval Results
Instructions to use jeff-legacy/Jeff-Qwen3.5-0.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeff-legacy/Jeff-Qwen3.5-0.8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="jeff-legacy/Jeff-Qwen3.5-0.8B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("jeff-legacy/Jeff-Qwen3.5-0.8B") model = AutoModel.from_pretrained("jeff-legacy/Jeff-Qwen3.5-0.8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download videos/doom-untrained-g4.mp4 from jeff-legacy/Jeff-Qwen3.5-0.8B: direct link, hf CLI and curl.
- Browser
- Download file 4.5 MB
-
https://huggingface.co/jeff-legacy/Jeff-Qwen3.5-0.8B/resolve/main/videos/doom-untrained-g4.mp4
- Command line
-
hf download hf://jeff-legacy/Jeff-Qwen3.5-0.8B/videos/doom-untrained-g4.mp4
-
curl -L -o doom-untrained-g4.mp4 https://huggingface.co/jeff-legacy/Jeff-Qwen3.5-0.8B/resolve/main/videos/doom-untrained-g4.mp4
4.5 MB
- Xet hash:
- d1b0d91431f1c140836c256eb6c2daa5f7c3db1872e34e735835fa9b86a5239b
- Size of remote file:
- 4.5 MB
- SHA256:
- c24e4ced9a94271d4d7d7a554795fc673fcf1e2d847b204f510a59fd3bce3f89
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