Instructions to use joonsong/gesture_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joonsong/gesture_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("joonsong/gesture_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use joonsong/gesture_model 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 joonsong/gesture_model 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 joonsong/gesture_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for joonsong/gesture_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="joonsong/gesture_model", max_seq_length=2048, )
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,7 +8,9 @@ tags:
|
|
| 8 |
- mllama
|
| 9 |
- trl
|
| 10 |
license: apache-2.0
|
|
|
|
| 11 |
language: en
|
|
|
|
| 12 |
datasets:
|
| 13 |
-Hand Gesture Recognition Database
|
| 14 |
-https://www.kaggle.com/datasets/gti-upm/leapgestrecog
|
|
|
|
| 8 |
- mllama
|
| 9 |
- trl
|
| 10 |
license: apache-2.0
|
| 11 |
+
|
| 12 |
language: en
|
| 13 |
+
|
| 14 |
datasets:
|
| 15 |
-Hand Gesture Recognition Database
|
| 16 |
-https://www.kaggle.com/datasets/gti-upm/leapgestrecog
|