Instructions to use MingZhong/unieval-intermediate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MingZhong/unieval-intermediate with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MingZhong/unieval-intermediate") model = AutoModelForSeq2SeqLM.from_pretrained("MingZhong/unieval-intermediate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 996f92cb5a0bcbf35f9359d3c172a632f47447417a7f373bb72d9fe3a2a76bd1
- Size of remote file:
- 3.13 GB
- SHA256:
- 42415a5fe174ad93f18aba7d4ecb82d13145c2cc4ce1a822e48f31354709791f
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