Image-to-Text
Transformers
PyTorch
TensorBoard
git
image-text-to-text
Generated from Trainer
vision
image-captioning
Instructions to use Fireworks12/git-base-pokemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fireworks12/git-base-pokemon 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="Fireworks12/git-base-pokemon")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Fireworks12/git-base-pokemon") model = AutoModelForMultimodalLM.from_pretrained("Fireworks12/git-base-pokemon") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 47f3b36
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README.md
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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model-index:
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- name: git-base-pokemon
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: mit
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tags:
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- generated_from_trainer
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- vision
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- image-to-text
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- image-captioning
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datasets:
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- imagefolder
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model-index:
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- name: git-base-pokemon
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results: []
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pipeline_tag: image-to-text
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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