Instructions to use shuyuej/bge-multilingual-gemma2-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shuyuej/bge-multilingual-gemma2-GPTQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="shuyuej/bge-multilingual-gemma2-GPTQ")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("shuyuej/bge-multilingual-gemma2-GPTQ") model = AutoModel.from_pretrained("shuyuej/bge-multilingual-gemma2-GPTQ", device_map="auto") - Notebooks
- Google Colab
- Kaggle
lacking block_name_to_quantize argument in quantize_model
1
#1 opened almost 2 years ago
by
lynquantumman