Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
text-embeddings-inference
Instructions to use CarlosMorales/HateSpeechDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use CarlosMorales/HateSpeechDetector with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CarlosMorales/HateSpeechDetector") 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] - Notebooks
- Google Colab
- Kaggle
Add new SentenceTransformer model.
Browse files- config.json +1 -1
- model.safetensors +1 -1
- tokenizer_config.json +0 -7
config.json
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{
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"_name_or_path": "
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"architectures": [
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"BertModel"
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],
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{
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"_name_or_path": "BAAI/bge-large-en-v1.5",
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"architectures": [
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"BertModel"
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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:
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size 1340612432
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version https://git-lfs.github.com/spec/v1
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oid sha256:75194409ebed3fcedf5e41f51dbc05bf75795588bd2f94676b863c4e97edb10d
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size 1340612432
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tokenizer_config.json
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"max_length": 512,
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"model_max_length": 512,
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"never_split": null,
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"pad_to_multiple_of": null,
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"pad_token": "[PAD]",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"sep_token": "[SEP]",
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"stride": 0,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]"
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}
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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