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-rule-bot.mp4 from jeff-legacy/Jeff-Qwen3.5-0.8B: direct link, hf CLI and curl.
- Browser
- Download file 6.9 MB
-
https://huggingface.co/jeff-legacy/Jeff-Qwen3.5-0.8B/resolve/main/videos/doom-rule-bot.mp4
- Command line
-
hf download hf://jeff-legacy/Jeff-Qwen3.5-0.8B/videos/doom-rule-bot.mp4
-
curl -L -o doom-rule-bot.mp4 https://huggingface.co/jeff-legacy/Jeff-Qwen3.5-0.8B/resolve/main/videos/doom-rule-bot.mp4
6.9 MB
- Xet hash:
- 81cbc6c0ee1cd0e961d7e80ec6899225cce1d8e13f58f89a66dcf80ec810b227
- Size of remote file:
- 6.9 MB
- SHA256:
- 34f3bec80e741a1b887ca420cbd0d98be4403e9e7f94d18f1ae33f8fcc733b04
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.