Text-to-Image
Transformers
PyTorch
English
Spanish
idefics
image-text-to-text
Generated from Trainer
text-generation-inference
8-bit precision
bitsandbytes
Instructions to use mrm8488/idefics-9b-ft-floco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/idefics-9b-ft-floco with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mrm8488/idefics-9b-ft-floco") model = AutoModelForMultimodalLM.from_pretrained("mrm8488/idefics-9b-ft-floco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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model-index:
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- name: idefics-9b-ft-floco
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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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#
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This model is a fine-tuned version of [HuggingFaceM4/idefics-9b](https://huggingface.co/HuggingFaceM4/idefics-9b) on **FloCo** dataset.
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It achieves the following results on the **test set**:
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- Loss: 0.724
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model-index:
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- name: idefics-9b-ft-floco
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results: []
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datasets:
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- mrm8488/FloCo
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language:
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- en
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- es
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pipeline_tag: text-to-image
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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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# IDEFICS (9B) fine-tuned on FloCo Dataset
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This model is a fine-tuned version of [HuggingFaceM4/idefics-9b](https://huggingface.co/HuggingFaceM4/idefics-9b) on **FloCo** dataset for **flowchart to code** downstream task.
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It achieves the following results on the **test set**:
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- Loss: 0.724
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