Instructions to use thiomajid/bge-base-java-methods with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thiomajid/bge-base-java-methods with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="thiomajid/bge-base-java-methods")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("thiomajid/bge-base-java-methods") model = AutoModel.from_pretrained("thiomajid/bge-base-java-methods") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 078f10aaa8d9912910f7656d623d4746b32b8f7ee53b6e33d9cf3ecb61fba66f
- Size of remote file:
- 440 MB
- SHA256:
- 8d7a521b18e5eb30bafe6469446090e1a60f018579f77a79339746d9e497a140
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