Instructions to use VuongQuoc/checkpoints_28_9_microsoft_deberta_V4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VuongQuoc/checkpoints_28_9_microsoft_deberta_V4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("VuongQuoc/checkpoints_28_9_microsoft_deberta_V4") model = AutoModelForMultipleChoice.from_pretrained("VuongQuoc/checkpoints_28_9_microsoft_deberta_V4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from VuongQuoc/checkpoints_28_9_microsoft_deberta_V4: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
-
https://huggingface.co/VuongQuoc/checkpoints_28_9_microsoft_deberta_V4/resolve/main/added_tokens.json
- Command line
-
hf download hf://VuongQuoc/checkpoints_28_9_microsoft_deberta_V4/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/VuongQuoc/checkpoints_28_9_microsoft_deberta_V4/resolve/main/added_tokens.json
23 Bytes
| { | |
| "[MASK]": 128000 | |
| } | |