Instructions to use hf-internal-testing/tiny-random-MPNetForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MPNetForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MPNetForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-MPNetForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea7b2f63fd4383596dba359c99268a02c6986c0060763da53e10c9184bf979b3
- Size of remote file:
- 1.07 MB
- SHA256:
- 0a5265e8d63647794c2ccb443bbb5a8eb36af28c9d514c55a3a8525c811d7b12
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