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
Download training_args.bin from Gabriel382/BioJev-Nano: direct link, hf CLI and curl.
- Browser
- Download file 5.33 kB
-
https://huggingface.co/Gabriel382/BioJev-Nano/resolve/main/training_args.bin
- Command line
-
hf download hf://Gabriel382/BioJev-Nano/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Gabriel382/BioJev-Nano/resolve/main/training_args.bin
5.33 kB
- Xet hash:
- eb50807162a6bc387708d39c37b96184aab6b4f6912f8d960b1be8a1114fe26a
- Size of remote file:
- 5.33 kB
- SHA256:
- 9b03e5d5f15361975501f38b539b3ebccbcf3e8ebb31410a170536f0ab060baa
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