Instructions to use Fiscus/trinitite_safe_rl_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fiscus/trinitite_safe_rl_base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fiscus/trinitite_safe_rl_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Fiscus/trinitite_safe_rl_base 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 Fiscus/trinitite_safe_rl_base 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 Fiscus/trinitite_safe_rl_base to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Fiscus/trinitite_safe_rl_base to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Fiscus/trinitite_safe_rl_base", max_seq_length=2048, )
- Xet hash:
- 9d5467a77b1fc062bc2526fd7d772415515f48d95782fb0177b3179d1cd93a90
- Size of remote file:
- 264 MB
- SHA256:
- 7877551e64a732cf70ea417db55297702c18986b1959afb2a168ed53c71ec596
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