Instructions to use peterandrew987/indo-bert-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterandrew987/indo-bert-test with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="peterandrew987/indo-bert-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("peterandrew987/indo-bert-test") model = AutoModelForQuestionAnswering.from_pretrained("peterandrew987/indo-bert-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from peterandrew987/indo-bert-test: direct link, hf CLI and curl.
- Browser
- Download file 4.47 kB
-
https://huggingface.co/peterandrew987/indo-bert-test/resolve/main/training_args.bin
- Command line
-
hf download hf://peterandrew987/indo-bert-test/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/peterandrew987/indo-bert-test/resolve/main/training_args.bin
4.47 kB
- Xet hash:
- aa8783b55d050545b4776d5fffb2dca6a189b351eabbb3b47e0ecedd69160d93
- Size of remote file:
- 4.47 kB
- SHA256:
- 04e9dc3fad138cda122a5285a8d866f768334b0b02c7b7a65f9f67b84df13c84
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