---
tags:
- adapterhub:chemistry
- adapter-transformers
- t5
datasets:
- uspto
---

# Adapter `doncamilom/OChemSegm-flan-T5-large` for google/flan-t5-large

An [adapter](https://adapterhub.ml) for the `google/flan-t5-large` model that was trained on the [USPTO-segment](www.tobedone.undone) dataset.

This adapter was created for usage with the **[adapter-transformers](https://github.com/Adapter-Hub/adapter-transformers)** library.

## Usage

First, install `adapter-transformers`:

```
pip install -U adapter-transformers
```
_Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. [More](https://docs.adapterhub.ml/installation.html)_

Now, the adapter can be loaded and activated like this:

```python
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

adapter = 'doncamilom/OChemSegm-flan-T5-large'

model = AutoModelForSeq2SeqLM.from_pretrained(
    'google/flan-t5-large',
)

# Load adapter
adapter_name = self.model.load_adapter(adapter, source='hf', set_active=True)

# Load tokenizer
tokenizer = AutoTokenizer.from_pretrained(adapter)
```

## Architecture & Training

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## Evaluation results

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## Citation

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