Visual Question Answering
PEFT
Safetensors
English
decision-model
calibration
typesafe
kev
jev
vision
qwen3.5
Instructions to use Jacqkues/sev-0.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jacqkues/sev-0.8b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-0.8B-Base") model = PeftModel.from_pretrained(base_model, "Jacqkues/sev-0.8b") - Notebooks
- Google Colab
- Kaggle
Download head.pt from Jacqkues/sev-0.8b: direct link, hf CLI and curl.
- Browser
- Download file 2.1 MB
-
https://huggingface.co/Jacqkues/sev-0.8b/resolve/4a0a64eb04957e0609b2ec9a15e42e55e8d7485e/head.pt
- Command line
-
hf download hf://Jacqkues/sev-0.8b@4a0a64eb04957e0609b2ec9a15e42e55e8d7485e/head.pt
-
curl -L -o head.pt https://huggingface.co/Jacqkues/sev-0.8b/resolve/4a0a64eb04957e0609b2ec9a15e42e55e8d7485e/head.pt
2.1 MB
- Xet hash:
- e4b8556ef526b2d41866e49f383144430343fed940a422ae67e806acabab8302
- Size of remote file:
- 2.1 MB
- SHA256:
- c669225464696fc0598a2cd948b2b5454a871d5137ab07b5e6719c13ed309c54
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