Instructions to use Gwonee/Kowen-vol-1-base-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gwonee/Kowen-vol-1-base-7B with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="Gwonee/Kowen-vol-1-base-7B")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Gwonee/Kowen-vol-1-base-7B") model = AutoModelForMultimodalLM.from_pretrained("Gwonee/Kowen-vol-1-base-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
KoWen : Korean Qwen2-VL model (Feat. Qwen2-VL)
This model is a the latest version of the vision language models in the Qwen model Families, trained on Korean visual-instruction dataset.
Detail codes are available at KoWen github repository
License
This project is licensed under the Apache License, Version 2.0. You may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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