Instructions to use Wikidepia/IndoConvBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wikidepia/IndoConvBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Wikidepia/IndoConvBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Wikidepia/IndoConvBERT-base") model = AutoModel.from_pretrained("Wikidepia/IndoConvBERT-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 368b0e8c5c4b4f15f7ca6c0a086e01b112c3c399ce0adb0765604c73d9843b48
- Size of remote file:
- 423 MB
- SHA256:
- c626393b3a07718ab46ef8f426c46e7d6bb529fcdfc5a5195b040066985c2d33
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