Instructions to use carsonpoole/binary-embeddings-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carsonpoole/binary-embeddings-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="carsonpoole/binary-embeddings-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("carsonpoole/binary-embeddings-base") model = AutoModel.from_pretrained("carsonpoole/binary-embeddings-base") - Notebooks
- Google Colab
- Kaggle
Create 1_Pooling/config.json
Browse files- 1_Pooling/config.json +7 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 384,
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"pooling_mode_cls_token": true,
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"pooling_mode_mean_tokens": false,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false
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}
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