Instructions to use balarajr/triage-agent-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use balarajr/triage-agent-9b with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("balarajr/triage-agent-9b", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

Unsloth Studio

How to use balarajr/triage-agent-9b 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 balarajr/triage-agent-9b 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 balarajr/triage-agent-9b to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for balarajr/triage-agent-9b to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="balarajr/triage-agent-9b",
    max_seq_length=2048,
)

triage-agent-9b / tokenizer.json

Commit History

Training in progress, step 200

f1d0406
verified

balarajr commited on Apr 25

Commit History

Training in progress, step 200 f1d0406 verified

Training in progress, step 200

f1d0406
verified