Instructions to use hf-tiny-model-private/tiny-random-ErnieForMultipleChoice 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-ErnieForMultipleChoice 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-ErnieForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-ErnieForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 385 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-ErnieForMultipleChoice/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-ErnieForMultipleChoice/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-ErnieForMultipleChoice/resolve/main/pytorch_model.bin
385 kB
- Xet hash:
- d2d7a71ccaa506beea35317b38c5615ec86d3a57fa5889cdc6d63f027fd1eeaa
- Size of remote file:
- 385 kB
- SHA256:
- c2700b6ddd23436c32d3b71ed4eb288f4a482e509c409eb93a27fb13932ed2a3
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