Text Classification
PEFT
Safetensors
English
biojev
biomedical
qwen3.5
qlora
natural-language-inference
biomedical-nlp
system-one
Instructions to use Gabriel382/BioJev-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gabriel382/BioJev-9B with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3.5-9B-Base") model = PeftModel.from_pretrained(base_model, "Gabriel382/BioJev-9B") - Notebooks
- Google Colab
- Kaggle
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Download SYSTEMONE_API.md from Gabriel382/BioJev-9B: direct link, hf CLI and curl.
- Browser
- Download file 510 Bytes
-
https://huggingface.co/Gabriel382/BioJev-9B/resolve/main/SYSTEMONE_API.md
- Command line
-
hf download hf://Gabriel382/BioJev-9B/SYSTEMONE_API.md
-
curl -L -o SYSTEMONE_API.md https://huggingface.co/Gabriel382/BioJev-9B/resolve/main/SYSTEMONE_API.md
510 Bytes
BioJev-9B — System One API
Main implementation: https://github.com/Gabriel382/BioJev
Serve this local model directory with:
python scripts/serve_systemone.py \
--checkpoint /path/to/BioJev-9B \
--model-name biojev-9b \
--load-in-4bit \
--host 0.0.0.0 \
--port 8000
Endpoint:
POST /v1/systemone
Supported types: choice, noul, score.
This is a compatibility bridge over the existing three-class BioJev NLI classifier, not a native Ollama/System-One checkpoint.