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 training_args.bin from Shaier/openbookqa_distilbert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 3.07 kB
-
https://huggingface.co/Shaier/openbookqa_distilbert-base-uncased/resolve/main/training_args.bin
- Command line
-
hf download hf://Shaier/openbookqa_distilbert-base-uncased/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Shaier/openbookqa_distilbert-base-uncased/resolve/main/training_args.bin
3.07 kB
- Xet hash:
- a31ca4cb7b5d1bdd3edc0794081eb8de344810fcab79caf740d8dd8b952172a1
- Size of remote file:
- 3.07 kB
- SHA256:
- 85d2452f442e678621da00baea43de9bf52e1f4877b54fc6a1b4d1c070edd7dc
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