Instructions to use Srish117/model_SLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Srish117/model_SLM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Srish117/model_SLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Srish117/model_SLM 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 Srish117/model_SLM 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 Srish117/model_SLM to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Srish117/model_SLM to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Srish117/model_SLM", max_seq_length=2048, )
- Xet hash:
- ab7e247a6970040dd84b003c473c9050fcc49d29808c1eb13fda571f5bbf3e8a
- Size of remote file:
- 60.8 MB
- SHA256:
- a528658cccdbb02957d3be2df3dd6c515a8181af929b3296b60b8fad956c47ae
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