---
library_name: transformers
tags: []
---

# Model Card for Model ID

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```python
from transformers import Idefics2Config, AutoProcessor, MistralConfig, Idefics2ForConditionalGeneration
from transformers.models.idefics2.configuration_idefics2 import Idefics2VisionConfig

config = Idefics2Config(
    text_config=MistralConfig(
        max_position_embeddings=4096 * 8,
        vocab_size=32003,
        hidden_size=4 * 8,
        num_attention_heads=8,
        intermediate_size=16,
        num_hidden_layers=2,
    ),
    vision_config=Idefics2VisionConfig(
        hidden_size=8 * 4,
        num_attention_heads=4,
        num_hidden_layers=2,
        intermediate_size=16,
    ),
)
model = Idefics2ForConditionalGeneration(config=config)
processor = AutoProcessor.from_pretrained("HuggingFaceM4/idefics2-8b")

model.push_to_hub("trl-internal-testing/tiny-random-idefics2")
processor.push_to_hub("trl-internal-testing/tiny-random-idefics2")
```


## Model Details

### Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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