Sentence Similarity
Transformers
Safetensors
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
text-reranking
feature-extraction
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
advbenchir
bright
Instructions to use McGill-NLP/LLM2Vec-Gen-Llama32-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use McGill-NLP/LLM2Vec-Gen-Llama32-1B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("McGill-NLP/LLM2Vec-Gen-Llama32-1B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K