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rjnClarke
/
intfloat-multilingual-e5-small-fine-tuned

Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
Generated from Trainer
dataset_size:10359
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use rjnClarke/intfloat-multilingual-e5-small-fine-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use rjnClarke/intfloat-multilingual-e5-small-fine-tuned with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("rjnClarke/intfloat-multilingual-e5-small-fine-tuned")
    
    sentences = [
        "Cleopatra reacts to the news of Antony's death with a mixture of sadness and resignation, contemplating her own mortality and the fickle nature of life.",
        "Immortal longings in me. Now no more    The juice of Egypt's grape shall moist this lip.    Yare, yare, good Iras; quick. Methinks I hear    Antony call. I see him rouse himself    To praise my noble act. I hear him mock    The luck of Caesar, which the gods give men    To excuse their after wrath. Husband, I come.    Now to that name my courage prove my title!    I am fire and air; my other elements    I give to baser life. So, have you done?    Come then, and take the last warmth of my lips.    Farewell, kind Charmian. Iras, long farewell.                              [Kisses them. IRAS falls and dies]    Have I the aspic in my lips? Dost fall?    If thus thou and nature can so gently part,    The stroke of death is as a lover's pinch,    Which hurts and is desir'd. Dost thou lie still?    If thou vanishest, thou tell'st the world      It is not worth leave-taking.  CHARMIAN. Dissolve, thick cloud, and rain, that I may say    The gods themselves do weep.  CLEOPATRA. This proves me base.\n      If she first meet the curled Antony,\n",
        "BURGUNDY. Warlike and martial Talbot, Burgundy\n    Enshrines thee in his heart, and there erects      Thy noble deeds as valour's monuments.  TALBOT. Thanks, gentle Duke. But where is Pucelle now?    I think her old familiar is asleep.    Now where's the Bastard's braves, and Charles his gleeks?    What, all amort? Rouen hangs her head for grief    That such a valiant company are fled.    Now will we take some order in the town,    Placing therein some expert officers;    And then depart to Paris to the King,    For there young Henry with his nobles lie.  BURGUNDY. What Lord Talbot pleaseth Burgundy.  TALBOT. But yet, before we go, let's not forget    The noble Duke of Bedford, late deceas'd,    But see his exequies fulfill'd in Rouen.    A braver soldier never couched lance,    A gentler heart did never sway in court;    But kings and mightiest potentates must die,    For that's the end of human misery.                   Exeunt\n",
        "Your suffering in this dearth, you may as well\n    Strike at the heaven with your staves as lift them    Against the Roman state; whose course will on    The way it takes, cracking ten thousand curbs    Of more strong link asunder than can ever    Appear in your impediment. For the dearth,    The gods, not the patricians, make it, and    Your knees to them, not arms, must help. Alack,    You are transported by calamity    Thither where more attends you; and you slander    The helms o' th' state, who care for you like fathers,    When you curse them as enemies.  FIRST CITIZEN. Care for us! True, indeed! They ne'er car'd for us    yet. Suffer us to famish, and their storehouses cramm'd with    grain; make edicts for usury, to support usurers; repeal daily    any wholesome act established against the rich, and provide more    piercing statutes daily to chain up and restrain the poor. If the    wars eat us not up, they will; and there's all the love they bear    us.    MENENIUS. Either you must    Confess yourselves wondrous malicious,    Or be accus'd of folly. I shall tell you    A pretty tale. It may be you have heard it;    But, since it serves my purpose, I will venture    To stale't a little more.  FIRST CITIZEN. Well, I'll hear it, sir; yet you must not think to    fob off our disgrace with a tale. But, an't please you, deliver.  MENENIUS. There was a time when all the body's members    Rebell'd against the belly; thus accus'd it:    That only like a gulf it did remain    I' th' midst o' th' body, idle and unactive,    Still cupboarding the viand, never bearing    Like labour with the rest; where th' other instruments    Did see and hear, devise, instruct, walk, feel,\n      And, mutually participate, did minister\n"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
intfloat-multilingual-e5-small-fine-tuned
493 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
rjnClarke's picture
rjnClarke
Add new SentenceTransformer model.
79709b2 verified almost 2 years ago
  • 1_Pooling
    Add new SentenceTransformer model. almost 2 years ago
  • .gitattributes
    1.57 kB
    Add new SentenceTransformer model. almost 2 years ago
  • README.md
    64.4 kB
    Add new SentenceTransformer model. almost 2 years ago
  • config.json
    710 Bytes
    Add new SentenceTransformer model. almost 2 years ago
  • config_sentence_transformers.json
    201 Bytes
    Add new SentenceTransformer model. almost 2 years ago
  • model.safetensors
    471 MB
    xet
    Add new SentenceTransformer model. almost 2 years ago
  • modules.json
    349 Bytes
    Add new SentenceTransformer model. almost 2 years ago
  • sentence_bert_config.json
    53 Bytes
    Add new SentenceTransformer model. almost 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Add new SentenceTransformer model. almost 2 years ago
  • special_tokens_map.json
    965 Bytes
    Add new SentenceTransformer model. almost 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    Add new SentenceTransformer model. almost 2 years ago
  • tokenizer_config.json
    1.36 kB
    Add new SentenceTransformer model. almost 2 years ago