Sentence Similarity
Transformers
PyTorch
Safetensors
xlm-roberta
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use deepfile/embedder-100p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepfile/embedder-100p with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepfile/embedder-100p") model = AutoModel.from_pretrained("deepfile/embedder-100p") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (bf7039b6aba931d1be0d652fd4bd9f5834a0cc6f)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:02f6a85a0b3984a2646f91d9bcdd99efe5f8b9c11597ff4c7d29e977144ffeaf
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size 1112201288
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