Instructions to use Ba2han/model-qwen35-t2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ba2han/model-qwen35-t2 with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Ba2han/model-qwen35-t2", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

Unsloth Studio

How to use Ba2han/model-qwen35-t2 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 Ba2han/model-qwen35-t2 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 Ba2han/model-qwen35-t2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Ba2han/model-qwen35-t2 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="Ba2han/model-qwen35-t2",
    max_seq_length=2048,
)

model-qwen35-t2 / tokenizer.json

Commit History

Training in progress, step 32

68f2f6b
verified

Ba2han commited on Mar 21

Commit History

Training in progress, step 32 68f2f6b verified

Training in progress, step 32

68f2f6b
verified