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
Download training_args.bin from Gabriel382/BioJev-9B: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/Gabriel382/BioJev-9B/resolve/main/training_args.bin
- Command line
-
hf download hf://Gabriel382/BioJev-9B/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Gabriel382/BioJev-9B/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 2af894ef52c47301aba3092ddbba2a4589ebb1d95822f912720368464db6f08f
- Size of remote file:
- 5.27 kB
- SHA256:
- d78f00288daf2612f3087a638bf25c82f36f897fdea4df50855a05493e167700
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