Feature Extraction
PEFT
Safetensors
sentence-transformers
English
dense-retrieval
information-retrieval
oblique-retrieval
authorship
stylometry
lora
Instructions to use DataScience-UIBK/OBLIQ-IR-3B-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DataScience-UIBK/OBLIQ-IR-3B-LoRA with PEFT:
Task type is invalid.
- sentence-transformers
How to use DataScience-UIBK/OBLIQ-IR-3B-LoRA with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("DataScience-UIBK/OBLIQ-IR-3B-LoRA") 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
- Xet hash:
- 97d5a37cd1b4a64d1cd121392c247e2debecfee36dd6915336060d553103b691
- Size of remote file:
- 17.2 MB
- SHA256:
- 881912e4e7f25194ad8e82fd5f12292ba4a70376303f608aa270fb4bde3bc9b7
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