Instructions to use hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 8.64 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice/resolve/e7aedde0b85ad8241b4d2aedab9fbbb92ea2ac59/tokenizer.json
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice@e7aedde0b85ad8241b4d2aedab9fbbb92ea2ac59/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-DebertaV2ForMultipleChoice/resolve/e7aedde0b85ad8241b4d2aedab9fbbb92ea2ac59/tokenizer.json
8.64 MB
File too large to display, you can check the raw version instead.