Instructions to use Shaier/openbookqa_distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shaier/openbookqa_distilbert-base-uncased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Shaier/openbookqa_distilbert-base-uncased") model = AutoModelForMultipleChoice.from_pretrained("Shaier/openbookqa_distilbert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Shaier/openbookqa_distilbert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Shaier/openbookqa_distilbert-base-uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Shaier/openbookqa_distilbert-base-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Shaier/openbookqa_distilbert-base-uncased/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- b6ebf611f8528fbef7d6525b5c519feaf5a34302453c77967d3ed6faaeddc65c
- Size of remote file:
- 268 MB
- SHA256:
- b2e0604cf4980e6b96a9cc1be88cf4d629157ef9a55c032b4fd8a16ce0da1406
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