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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Uploaded Rust models compatible with the `rust-bert` library
Due to the opened PR here: https://github.com/guillaume-be/rust-bert/pull/376 Regarding the introduction of the GODEL models support, we want to upload these weights compatible to the library. Will open a PR for the large one too.9218e88
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Adding generation config file(s)
728a30c
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Update README.md
db9a1fe
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Update README.md
6024589
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Upload tokenizer
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Upload T5ForConditionalGeneration
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initial commit
Baolin Peng31f04a0