Sentence Similarity
sentence-transformers
Safetensors
Persian
Arabic
multilingual
xlm-roberta
feature-extraction
persian
arabic
qa
information-retrieval
hadith
islmic
text-embeddings-inference
Instructions to use hamtaai/e5-large-hadith-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use hamtaai/e5-large-hadith-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hamtaai/e5-large-hadith-v2") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Download checkpoints/checkpoint-4240/sentence_bert_config.json from hamtaai/e5-large-hadith-v2: direct link, hf CLI and curl.
- Browser
- Download file 57 Bytes
-
https://huggingface.co/hamtaai/e5-large-hadith-v2/resolve/main/checkpoints/checkpoint-4240/sentence_bert_config.json
- Command line
-
hf download hf://hamtaai/e5-large-hadith-v2/checkpoints/checkpoint-4240/sentence_bert_config.json
-
curl -L -o sentence_bert_config.json https://huggingface.co/hamtaai/e5-large-hadith-v2/resolve/main/checkpoints/checkpoint-4240/sentence_bert_config.json
57 Bytes
| { | |
| "max_seq_length": 512, | |
| "do_lower_case": false | |
| } |