Instructions to use microsoft/GODEL-v1_1-base-seq2seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/GODEL-v1_1-base-seq2seq with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/GODEL-v1_1-base-seq2seq") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/GODEL-v1_1-base-seq2seq") - Notebooks
- Google Colab
- Kaggle
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#1
by eradhea - opened
It says that is "AutoTrainCompatible" but I don't find the way to train it with that option.
Hi,
The reason this one has the "AutoTrain Compatible" tag is because it has a T5 architecture. AutoTrain supports summarization and translation, which can be done with the T5 model.
However this model doesn't seem intended for summarization/translation but rather to be used in a conversational setup.