Instructions to use benlyind/sahabatai_cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benlyind/sahabatai_cs with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("benlyind/sahabatai_cs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use benlyind/sahabatai_cs 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 benlyind/sahabatai_cs 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 benlyind/sahabatai_cs to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for benlyind/sahabatai_cs to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="benlyind/sahabatai_cs", max_seq_length=2048, )
| FROM ./sahabatai_cs.gguf | |
| # Metadata | |
| PARAMETER temperature 0.7 | |
| PARAMETER top_p 0.9 | |
| PARAMETER stop "Input:" | |
| PARAMETER stop "Response:" | |
| PARAMETER stop "Below is an instruction" | |
| # Template sesuai format Alpaca yang digunakan saat training | |
| TEMPLATE """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. | |
| Input: {{ .Prompt }} | |
| Response: {{ .Response }}""" | |
| # System prompt | |
| SYSTEM """You are a helpful AI assistant trained to follow instructions and provide detailed responses in Indonesian language.""" |