Instructions to use hf-tiny-model-private/tiny-random-RoCBertForMultipleChoice 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-RoCBertForMultipleChoice 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-RoCBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-RoCBertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-RoCBertForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 2.96 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-RoCBertForMultipleChoice/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-RoCBertForMultipleChoice@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-RoCBertForMultipleChoice/resolve/refs%2Fpr%2F1/model.safetensors
2.96 MB
- Xet hash:
- e1d61b8c71c13d2dc4d3034aa9141498996684f42573e278f6c25cc6456f9744
- Size of remote file:
- 2.96 MB
- SHA256:
- 9d7efdb46a5be77ccf7f76945bbdd9e84c25f33fe9301e07bb6d4c2d0a5704fe
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