Instructions to use rishi38/smart_emergency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rishi38/smart_emergency with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("rishi38/smart_emergency", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

Unsloth Studio new

How to use rishi38/smart_emergency 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 rishi38/smart_emergency 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 rishi38/smart_emergency to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for rishi38/smart_emergency to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="rishi38/smart_emergency",
    max_seq_length=2048,
)

smart_emergency / tokenizer.json

Commit History

Training in progress, step 10

786c7b0
verified

rishi38 commited on 12 days ago

Commit History

Training in progress, step 10 786c7b0 verified

Training in progress, step 10

786c7b0
verified