---
library_name: transformers
license: gemma
datasets:
- haesleinhuepf/bio-image-analysis-qa
---

# Model Card for Model ID

This is a proof-of-concept model. It is not properly trained. Do not use it for anything.

Gemma is provided under and subject to the Gemma Terms of Use found at [ai.google.dev/gemma/terms](https://ai.google.dev/gemma/terms/)

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

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

- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** gemma license
- **Finetuned from model [optional]:** google/gemma-2b-it

## How to Get Started with the Model

Use the code below to get started with the model.

```
def prompt_hf(request, model="haesleinhuepf/gemma-2b-it-bia-proof-of-concept2"):
    global prompt_hf
    import transformers
    import torch
    
    if prompt_hf._pipeline is None:    
        prompt_hf._pipeline = transformers.pipeline(
            "text-generation", model=model, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto"
        )
    
    return prompt_hf._pipeline(request)[0]['generated_text']
prompt_hf._pipeline = None

prompt_hf("What is the capital of France?")
```

## Training Details

### Training Data

https://huggingface.co/datasets/haesleinhuepf/bio-image-analysis-qa

## Model Card Contact

robert dot haase at uni minus leipzig dot de