Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
bert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:242513
loss:Contrastive
Eval Results (legacy)
text-embeddings-inference
Instructions to use souvickdascmsa019/initial-colbert-ir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use souvickdascmsa019/initial-colbert-ir with sentence-transformers:
from pylate import models queries = [ "Which planet is known as the Red Planet?", "What is the largest planet in our solar system?", ] documents = [ ["Mars is the Red Planet.", "Venus is Earth's twin."], ["Jupiter is the largest planet.", "Saturn has rings."], ] model = models.ColBERT(model_name_or_path="souvickdascmsa019/initial-colbert-ir") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from souvickdascmsa019/initial-colbert-ir: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/souvickdascmsa019/initial-colbert-ir/resolve/main/training_args.bin
- Command line
-
hf download hf://souvickdascmsa019/initial-colbert-ir/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/souvickdascmsa019/initial-colbert-ir/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 250de0d232117155c1611e9481235577b2337d4c5190f3089e29e5e4aca8f2ed
- Size of remote file:
- 5.56 kB
- SHA256:
- e40ea3b53318f6cc4052d531d9ccceb98644b7cd8b19aea0b0a0b281d9f3290c
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