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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thiomajid/bge-base-java-methods: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/thiomajid/bge-base-java-methods/resolve/dadcfed90bf519faceea4133507ea22922dd3013/training_args.bin
- Command line
-
hf download hf://thiomajid/bge-base-java-methods@dadcfed90bf519faceea4133507ea22922dd3013/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thiomajid/bge-base-java-methods/resolve/dadcfed90bf519faceea4133507ea22922dd3013/training_args.bin
5.5 kB
- Xet hash:
- 99a3366968544216bc472b8ce84f25798e6344e29d73abab64806015d3bf5b4c
- Size of remote file:
- 5.5 kB
- SHA256:
- 3ca4d6ad16cec2515aa0b9c069e582b5a6f8508946ea095333174e90f0f09c1e
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