Instructions to use bhavnicksm/red-beetle-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use bhavnicksm/red-beetle-base-v1 with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("bhavnicksm/red-beetle-base-v1") - sentence-transformers
How to use bhavnicksm/red-beetle-base-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bhavnicksm/red-beetle-base-v1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Commit ·
3fa4c7e
1
Parent(s): 3b8ebf8
Add model files
Browse files- config.json +12 -0
- model.safetensors +3 -0
- modules.json +8 -0
- tokenizer.json +0 -0
config.json
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{
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"model_type": "model2vec",
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"architectures": [
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"StaticModel"
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],
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"tokenizer_name": "mixedbread-ai/mxbai-embed-2d-large-v1",
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"apply_pca": null,
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"apply_zipf": false,
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"hidden_dim": 1024,
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"seq_length": 1000000,
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"normalize": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c39dc56ad2344f528055eaee499d3330b8af6529df405d44e524ff4a9f06ef6
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size 120946776
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modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": ".",
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"type": "sentence_transformers.models.StaticEmbedding"
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}
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]
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tokenizer.json
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