Instructions to use ConceptModels/Concept-Roleplay-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConceptModels/Concept-Roleplay-7b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ConceptModels/Concept-Roleplay-7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ConceptModels/Concept-Roleplay-7b 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 ConceptModels/Concept-Roleplay-7b 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 ConceptModels/Concept-Roleplay-7b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ConceptModels/Concept-Roleplay-7b to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ConceptModels/Concept-Roleplay-7b", max_seq_length=2048, )
- Xet hash:
- bbb01fe6c5a02fc96ccc50ec7ee08de78c484a110d7fbb3c076cccd33c92de2c
- Size of remote file:
- 11.4 MB
- SHA256:
- a2452d572ed4c286f853115d4b4e2186b709130e4ac1fb84fd071bbf7f831ca7
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