Sentence Similarity
sentence-transformers
Safetensors
esm
feature-extraction
Generated from Trainer
dataset_size:753444
loss:CoSENTLoss
Eval Results (legacy)
Instructions to use HassanCS/TCRa_HLA_peptide_ESM_4_epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use HassanCS/TCRa_HLA_peptide_ESM_4_epochs with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HassanCS/TCRa_HLA_peptide_ESM_4_epochs") sentences = [ "A Q T V T Q S Q P E M S V Q E A E T V T L S C T Y D T S E S D Y Y L F W Y K Q P P S R Q M I L V I R Q E A Y K Q Q N A T E N R F S V N F Q K A A K S F S L K I S D S Q L G D A A M Y F C C A Y R S M S N Y Q L I W W G A G T K L I I K P D", "A Q T V T Q S Q P E M S V Q E A E T V T L S C T Y D T S E N N Y Y L F W Y K Q P P S R Q M I L V I R Q E A Y K Q Q N A T E N R F S V N F Q K A A K S F S L K I S D S Q L G D T A M Y F C C A F V A N A G G T S Y G K L T F F G Q G T I L T V H P N", "A Q T V T Q S Q P E M S V Q E A E T V T L S C T Y D T S E S D Y Y L F W Y K Q P P S R Q M I L V I R Q E A Y K Q Q N A T E N R F S V N F Q K A A K S F S L K I S D S Q L G D A A M Y F C C A Y R S P N Y G G S Q G N L I F F G K G T K L S V K P N", "A Q S V A Q P E D Q V N V A E G N P L T V K C T Y S V S G N P Y L F W Y V Q Y P N R G L Q F L L K Y I T G D N L V K G S Y G F E A E F N K S Q T S F H L K K P S A L V S D S A L Y F C A L D Q A G T A L I F G K G T T L S V S S N" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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