Instructions to use sileod/mdeberta-v3-base-tasksource-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sileod/mdeberta-v3-base-tasksource-adapters with Transformers:
# Load model directly from transformers import AutoTokenizer, Adapter tokenizer = AutoTokenizer.from_pretrained("sileod/mdeberta-v3-base-tasksource-adapters") model = Adapter.from_pretrained("sileod/mdeberta-v3-base-tasksource-adapters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f24e687ed772d00b42ddf308a32838d9f9aeded999e349809edb3973b3c61bb
- Size of remote file:
- 3.64 MB
- SHA256:
- 69299aef7da47efa27ec5e7610949f219791621c02b47370e60e1904f2241e8a
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