Sentence Similarity
sentence-transformers
Safetensors
Transformers
bert
feature-extraction
text-embeddings-inference
Instructions to use danfeg/ARBERT_Finetuned-COMB-12481 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use danfeg/ARBERT_Finetuned-COMB-12481 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("danfeg/ARBERT_Finetuned-COMB-12481") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use danfeg/ARBERT_Finetuned-COMB-12481 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("danfeg/ARBERT_Finetuned-COMB-12481") model = AutoModel.from_pretrained("danfeg/ARBERT_Finetuned-COMB-12481", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add new SentenceTransformer model.
Browse files- config_sentence_transformers.json +1 -1
- model.safetensors +1 -1
config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.
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"transformers": "4.36.0",
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"pytorch": "2.1.1+cu121"
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"__version__": {
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"sentence_transformers": "2.6.0",
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"transformers": "4.36.0",
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"pytorch": "2.1.1+cu121"
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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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