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/frogger-rule-bot.mp4 from jeff-legacy/Jeff-Qwen3.5-0.8B: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/jeff-legacy/Jeff-Qwen3.5-0.8B/resolve/main/videos/frogger-rule-bot.mp4
- Command line
-
hf download hf://jeff-legacy/Jeff-Qwen3.5-0.8B/videos/frogger-rule-bot.mp4
-
curl -L -o frogger-rule-bot.mp4 https://huggingface.co/jeff-legacy/Jeff-Qwen3.5-0.8B/resolve/main/videos/frogger-rule-bot.mp4
2.42 MB
- Xet hash:
- 85ad912a5c1d40379ec25e865b91e5a2aec3f981b03198b51103d165575000ee
- Size of remote file:
- 2.42 MB
- SHA256:
- 701322522ed8a70a6cf23fcf5c209171db83c38e230bae4e0f2325c3d8c06dbc
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