Instructions to use lamarr-llm-development/elbedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lamarr-llm-development/elbedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lamarr-llm-development/elbedding")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lamarr-llm-development/elbedding") model = AutoModel.from_pretrained("lamarr-llm-development/elbedding") - Notebooks
- Google Colab
- Kaggle
Update sentence_bert_config.json
Browse files
sentence_bert_config.json
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{
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"model_name_or_path": "
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{
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"model_name_or_path": "lamarr-llm-development/elbedding"
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}
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