Instructions to use microsoft/GODEL-v1_1-large-seq2seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/GODEL-v1_1-large-seq2seq with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/GODEL-v1_1-large-seq2seq") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/GODEL-v1_1-large-seq2seq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/GODEL-v1_1-large-seq2seq: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/microsoft/GODEL-v1_1-large-seq2seq/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/GODEL-v1_1-large-seq2seq/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/GODEL-v1_1-large-seq2seq/resolve/main/pytorch_model.bin
2.95 GB
- Xet hash:
- 422f998e971731405139a287be6452262fac0667630ebcf478e5b41b39a59e04
- Size of remote file:
- 2.95 GB
- SHA256:
- d0750ef4c1dcb8f8ea1d81ed2e98efda19cdd059fe2207181ee458bc5fd2f39e
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