Instructions to use vinhnq29/bge-m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinhnq29/bge-m3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vinhnq29/bge-m3")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("vinhnq29/bge-m3") model = AutoModelForMultimodalLM.from_pretrained("vinhnq29/bge-m3") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM
tokenizer = AutoTokenizer.from_pretrained("vinhnq29/bge-m3")
model = AutoModelForMultimodalLM.from_pretrained("vinhnq29/bge-m3")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vinhnq29/bge-m3")