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/pacman-untrained-0.8b.mp4 from jeff-legacy/Jeff-Qwen3.5-0.8B: direct link, hf CLI and curl.
- Browser
- Download file 304 kB
-
https://huggingface.co/jeff-legacy/Jeff-Qwen3.5-0.8B/resolve/main/videos/pacman-untrained-0.8b.mp4
- Command line
-
hf download hf://jeff-legacy/Jeff-Qwen3.5-0.8B/videos/pacman-untrained-0.8b.mp4
-
curl -L -o pacman-untrained-0.8b.mp4 https://huggingface.co/jeff-legacy/Jeff-Qwen3.5-0.8B/resolve/main/videos/pacman-untrained-0.8b.mp4
304 kB
- Xet hash:
- a797c973d5db89d7480dfd65ac50fc62d5895f9504561444dbd17112df05fd49
- Size of remote file:
- 304 kB
- SHA256:
- 40e26d29a7ef5e9b086de3298cae4b8cfe9f4be558663f33877fcb9dbea75a6e
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