Instructions to use goatrider/final_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goatrider/final_model 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="goatrider/final_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("goatrider/final_model") model = AutoModelForMultimodalLM.from_pretrained("goatrider/final_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50f6549742f267da2a6584527dca854a56db3fd29a08bfeff14f39c550a8b2ec
- Size of remote file:
- 809 MB
- SHA256:
- ebe7d377a60345bd02a7572f4f04053ad5504cc21ef32ef05a5b9fef13ee957f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.