Text Classification
PEFT
Safetensors
kev
jev
pcap
network-security
vulnerability-detection
triage
decision-model
sharky
Instructions to use luispoveda93/sharky-0.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use luispoveda93/sharky-0.5B with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("openbmb/MiniCPM4-0.5B") model = PeftModel.from_pretrained(base_model, "luispoveda93/sharky-0.5B") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from luispoveda93/sharky-0.5B: direct link, hf CLI and curl.
- Browser
- Download file 6.7 MB
-
https://huggingface.co/luispoveda93/sharky-0.5B/resolve/main/tokenizer.json
- Command line
-
hf download hf://luispoveda93/sharky-0.5B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/luispoveda93/sharky-0.5B/resolve/main/tokenizer.json
6.7 MB
File too large to display, you can check the raw version instead.