Instructions to use HedronCreeper/gemma-2b-security-bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HedronCreeper/gemma-2b-security-bot with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HedronCreeper/gemma-2b-security-bot", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio
How to use HedronCreeper/gemma-2b-security-bot with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for HedronCreeper/gemma-2b-security-bot to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for HedronCreeper/gemma-2b-security-bot to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for HedronCreeper/gemma-2b-security-bot to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="HedronCreeper/gemma-2b-security-bot", max_seq_length=2048, )
File size: 482 Bytes
12d0a2d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"backend": "tokenizers",
"bos_token": "<bos>",
"clean_up_tokenization_spaces": false,
"eos_token": "<eos>",
"extra_special_tokens": [],
"from_slow": true,
"is_local": false,
"legacy": false,
"mask_token": "<mask>",
"model_max_length": 8192,
"pad_token": "<pad>",
"padding_side": "left",
"sp_model_kwargs": {},
"spaces_between_special_tokens": false,
"tokenizer_class": "GemmaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
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