Instructions to use riccorl/e5-base-v2-csqa-examples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use riccorl/e5-base-v2-csqa-examples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="riccorl/e5-base-v2-csqa-examples", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("riccorl/e5-base-v2-csqa-examples", trust_remote_code=True) model = AutoModel.from_pretrained("riccorl/e5-base-v2-csqa-examples", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("riccorl/e5-base-v2-csqa-examples", trust_remote_code=True)
model = AutoModel.from_pretrained("riccorl/e5-base-v2-csqa-examples", trust_remote_code=True)Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="riccorl/e5-base-v2-csqa-examples", trust_remote_code=True)