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 pytorch_model.bin from peterandrew987/indo-bert-test: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/peterandrew987/indo-bert-test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://peterandrew987/indo-bert-test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/peterandrew987/indo-bert-test/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- f94269e1074ab1d1b7fc8e5e6858df58ca6b122782d0abe7982c2b17289d6ed0
- Size of remote file:
- 440 MB
- SHA256:
- 8710606241c5dd735d73681c9b3844e5aa6a37d7b83c504db6f15da012389e70
路
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