Instructions to use VuongQuoc/checkpoints_29_9_microsoft_deberta_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VuongQuoc/checkpoints_29_9_microsoft_deberta_V1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("VuongQuoc/checkpoints_29_9_microsoft_deberta_V1") model = AutoModelForMultipleChoice.from_pretrained("VuongQuoc/checkpoints_29_9_microsoft_deberta_V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7eaa05c69324f975c039c26f0d3a80bc15403f0ca0223d2231a9938289e39cda
- Size of remote file:
- 1.74 GB
- SHA256:
- fc3e3ae4e4b4eff6363093cb67fc11098ff7f01a7d2e518dcd303165b798df3c
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