Instructions to use iseddik/attacked_model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iseddik/attacked_model_2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iseddik/attacked_model_2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use iseddik/attacked_model_2 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 iseddik/attacked_model_2 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 iseddik/attacked_model_2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for iseddik/attacked_model_2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="iseddik/attacked_model_2", max_seq_length=2048, )
- Xet hash:
- 7f6ba4cb37ad472dbea242823f9b87abfcc90725827e6ca61c2977a3c99456c9
- Size of remote file:
- 11.4 MB
- SHA256:
- f119bed7229e3791aa17dc5bc6106a1821e60b07cf8a8a5fde5230bf0f307caf
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