Transformers
Safetensors
t5
text2text-generation
antibody language model
antibody
protein language model
text-generation-inference
Instructions to use Exscientia/IgT5_unpaired with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Exscientia/IgT5_unpaired with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Exscientia/IgT5_unpaired") model = AutoModelForSeq2SeqLM.from_pretrained("Exscientia/IgT5_unpaired", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51b4876b4d7edebe64509f3115de0941d0d6289c06225c5adc896e1c0ee61567
- Size of remote file:
- 238 kB
- SHA256:
- 74da7b4afcde53faa570114b530c726135bdfcdb813dec3abfb27f9d44db7324
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