Instructions to use aloobun/rmfg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aloobun/rmfg 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="aloobun/rmfg", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("aloobun/rmfg", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- this marks the beginning of my tiny vision language model series, with this model serving as a prelude to what's to come in the next few days.
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- underfit, doesn't perform well
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- this marks the beginning of my tiny vision language model series, with this model serving as a prelude to what's to come in the next few days.
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```
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