Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Jrinky
/
final_stage1

Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:199321
loss:CachedInfonce
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Jrinky/final_stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Jrinky/final_stage1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Jrinky/final_stage1", trust_remote_code=True)
    
    sentences = [
        "What organization is the person excited about donating to",
        "The superiority of Balcomy, next to Crail, Fife, in 1394 was possessed by Nicholas de Hay, and on 15 January that year it passed to David Lindsay of Carnbie. indicating that George Lauder only held Balcomy by hereditary feu.",
        "However, Robertson pulled out of the bout citing injury and was replaced by Tim Means. He lost the back and forth fight via submission in the third round. Sullivan was expected to face Marcio Alexandre Jr. on July 12, 2015, at The Ultimate Fighter 21 Finale. However, Alexandre pulled out of the fight during the week leading up to the event citing a rib injury and was replaced by promotional newcomer Dominic Waters. Sullivan won the one-sided fight via unanimous decision. Sullivan faced Alexander Yakovlev at UFC on Fox 18 on January 30, 2016. He lost the fight via knockout in the first round.",
        "I am super excited about donating to the ASPCA, I really wish I had the financial means to be part of their monthly donation club. In my last post I mentioned some charms I made for some friends, one a loyal customer at my shop."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
final_stage1
1.16 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Jrinky's picture
Jrinky
Add new SentenceTransformer model
3969db6 verified about 1 year ago
  • 1_Pooling
    Add new SentenceTransformer model about 1 year ago
  • .gitattributes
    1.57 kB
    Add new SentenceTransformer model about 1 year ago
  • README.md
    31.9 kB
    Add new SentenceTransformer model about 1 year ago
  • config.json
    1.96 kB
    Add new SentenceTransformer model about 1 year ago
  • config_sentence_transformers.json
    444 Bytes
    Add new SentenceTransformer model about 1 year ago
  • configuration_xlm_roberta.py
    6.54 kB
    Add new SentenceTransformer model about 1 year ago
  • custom_st.py
    8.78 kB
    Add new SentenceTransformer model about 1 year ago
  • model.safetensors
    1.14 GB
    xet
    Add new SentenceTransformer model about 1 year ago
  • modules.json
    412 Bytes
    Add new SentenceTransformer model about 1 year ago
  • sentence_bert_config.json
    57 Bytes
    Add new SentenceTransformer model about 1 year ago
  • special_tokens_map.json
    1.02 kB
    Add new SentenceTransformer model about 1 year ago
  • tokenizer.json
    17.1 MB
    xet
    Add new SentenceTransformer model about 1 year ago
  • tokenizer_config.json
    1.44 kB
    Add new SentenceTransformer model about 1 year ago