Instructions to use zharry29/order_benchmark_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zharry29/order_benchmark_bert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("zharry29/order_benchmark_bert") model = AutoModelForMultipleChoice.from_pretrained("zharry29/order_benchmark_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from zharry29/order_benchmark_bert: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/zharry29/order_benchmark_bert/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://zharry29/order_benchmark_bert/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/zharry29/order_benchmark_bert/resolve/main/flax_model.msgpack
438 MB
- Xet hash:
- 3dd86bbfb8dec43ba406d86fd430e698170135363f5eaaed403a47c6eafedce3
- Size of remote file:
- 438 MB
- SHA256:
- be0b1d1f87ee08399a8e5c6e67cdb91c06dfd5cc4e1038f37f6dc4f90a0b3179
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