Instructions to use hf-internal-testing/tiny-random-AlbertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-AlbertForMultipleChoice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-AlbertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-AlbertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-internal-testing/tiny-random-AlbertForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 2.27 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-AlbertForMultipleChoice/resolve/0da68f5cf52dc1dea0854cd2fc968e32c1a3de53/tokenizer.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-AlbertForMultipleChoice@0da68f5cf52dc1dea0854cd2fc968e32c1a3de53/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-AlbertForMultipleChoice/resolve/0da68f5cf52dc1dea0854cd2fc968e32c1a3de53/tokenizer.json
2.27 MB
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