Instructions to use hf-tiny-model-private/tiny-random-IBertForMultipleChoice 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-IBertForMultipleChoice 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-IBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-IBertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-IBertForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 729 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-IBertForMultipleChoice/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-IBertForMultipleChoice@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-IBertForMultipleChoice/resolve/refs%2Fpr%2F1/model.safetensors
729 kB
- Xet hash:
- c4467c36589dea2150fceb5dd5230a16d5cf01fc2afa98cd0f946d4be5b82058
- Size of remote file:
- 729 kB
- SHA256:
- d0184f86c87ca7f18bed7f2c33cfd1186758608f3bb591c8fad5db116264a4ea
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