Instructions to use zharry29/order_benchmark_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zharry29/order_benchmark_roberta with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("zharry29/order_benchmark_roberta") model = AutoModelForMultipleChoice.from_pretrained("zharry29/order_benchmark_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from zharry29/order_benchmark_roberta: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/zharry29/order_benchmark_roberta/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://zharry29/order_benchmark_roberta/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/zharry29/order_benchmark_roberta/resolve/main/flax_model.msgpack
499 MB
- Xet hash:
- 499845793acbfca4a30c2894d2e77d4336af5f655e8e4787543d2af6f2820c66
- Size of remote file:
- 499 MB
- SHA256:
- 94731580295c8259ecdce172cf9633a3d45e3874d9ba99220296ca8fcea0d661
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