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 tokenizer.json from Gabriel382/BioJev-Nano: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/Gabriel382/BioJev-Nano/resolve/main/tokenizer.json
- Command line
-
hf download hf://Gabriel382/BioJev-Nano/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Gabriel382/BioJev-Nano/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 417b12215cc6d54ecada92f68b35cb3e01cc689a92a9aa9eb37c4731986c65f1
- Size of remote file:
- 20 MB
- SHA256:
- 225fe96e6f2e39fb1dfaec501993c88ace78f50c70774a4323ef57ee15072bcd
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