Instructions to use hf-tiny-model-private/tiny-random-FunnelForMultipleChoice 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-FunnelForMultipleChoice 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-FunnelForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-FunnelForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-FunnelForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 285 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-FunnelForMultipleChoice/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-FunnelForMultipleChoice@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-FunnelForMultipleChoice/resolve/refs%2Fpr%2F1/model.safetensors
285 kB
- Xet hash:
- 013213ef0043c7e3b90d5101d5ade4152098fb64b75587e149750e2b6af32d2e
- Size of remote file:
- 285 kB
- SHA256:
- f19f799758acdd7576f21f5251c4b389a4dca7b72751f67b6bd5f34f36db5af0
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