Instructions to use Osyrs/StatZ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Osyrs/StatZ with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Osyrs/StatZ", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Osyrs/StatZ 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 Osyrs/StatZ 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 Osyrs/StatZ to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Osyrs/StatZ to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Osyrs/StatZ", max_seq_length=2048, )
| license: apache-2.0 | |
| datasets: | |
| - Effyis/Table-Extraction | |
| - artefactory/Argimi-Ardian-Finance-10k-text-image | |
| - dreamerdeo/finqa | |
| language: | |
| - en | |
| metrics: | |
| - f1 | |
| - exact_match | |
| - cer | |
| - accuracy | |
| base_model: | |
| - deepseek-ai/DeepSeek-V4-Flash | |
| - Qwen/Qwen3.6-35B-A3B | |
| - google/gemma-4-31B-it | |
| new_version: deepseek-ai/DeepSeek-R1 | |
| library_name: transformers | |
| tags: | |
| - finance | |
| - text-generation-inference | |
| - tabular-data | |
| - statistics | |
| - unsloth | |
| - trl | |
| - outlines | |