Instructions to use hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
-
https://huggingface.co/hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice/resolve/main/added_tokens.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/hf-internal-testing/tiny-random-DebertaV2ForMultipleChoice/resolve/main/added_tokens.json
23 Bytes
| { | |
| "[MASK]": 128000 | |
| } | |