Instructions to use Vivek/gpt2-common-sense-reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vivek/gpt2-common-sense-reasoning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Vivek/gpt2-common-sense-reasoning") model = AutoModelForMultipleChoice.from_pretrained("Vivek/gpt2-common-sense-reasoning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Vivek/gpt2-common-sense-reasoning: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/Vivek/gpt2-common-sense-reasoning/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Vivek/gpt2-common-sense-reasoning/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Vivek/gpt2-common-sense-reasoning/resolve/main/flax_model.msgpack
1.42 GB
- Xet hash:
- b3a9d8ee44c987df176002addeb795721178fab70100956e7a14c3555f6b9656
- Size of remote file:
- 1.42 GB
- SHA256:
- fd2e92a7233e29a509eb154637ad78cef153ebf1065ed18cb43fa82960412b88
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