Text Classification
PEFT
Safetensors
English
biojev
biomedical
qwen3.5
qlora
natural-language-inference
biomedical-nlp
system-one
Instructions to use Gabriel382/BioJev-Nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gabriel382/BioJev-Nano with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3.5-0.8B-Base") model = PeftModel.from_pretrained(base_model, "Gabriel382/BioJev-Nano") - Notebooks
- Google Colab
- Kaggle
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Download SYSTEMONE_API.md from Gabriel382/BioJev-Nano: direct link, hf CLI and curl.
- Browser
- Download file 711 Bytes
-
https://huggingface.co/Gabriel382/BioJev-Nano/resolve/main/SYSTEMONE_API.md
- Command line
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hf download hf://Gabriel382/BioJev-Nano/SYSTEMONE_API.md
-
curl -L -o SYSTEMONE_API.md https://huggingface.co/Gabriel382/BioJev-Nano/resolve/main/SYSTEMONE_API.md
711 Bytes
BioJev-Nano — System One API
The System One compatibility server is maintained in the main BioJev repository:
https://github.com/Gabriel382/BioJev
After cloning/installing BioJev, serve this local model directory with:
python scripts/serve_systemone.py \
--checkpoint /path/to/BioJev-Nano \
--model-name biojev-nano \
--load-in-4bit \
--host 0.0.0.0 \
--port 8000
Endpoint:
POST /v1/systemone
Supported decision types:
choicenoulscore
BioJev-Nano remains a three-class NLI sequence classifier. The System One endpoint is a compatibility bridge which converts each candidate into an NLI hypothesis and scores it using the existing trained checkpoint.