Instructions to use sapienzanlp/relik-retriever-e5-base-v2-aida-blink-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sapienzanlp/relik-retriever-e5-base-v2-aida-blink-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sapienzanlp/relik-retriever-e5-base-v2-aida-blink-encoder", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sapienzanlp/relik-retriever-e5-base-v2-aida-blink-encoder", trust_remote_code=True) model = AutoModel.from_pretrained("sapienzanlp/relik-retriever-e5-base-v2-aida-blink-encoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- baaf5da075a6563a42b151dc466615f6697ed067cc3ac151e758bcb528e07add
- Size of remote file:
- 438 MB
- SHA256:
- bbd6a136bf81615773e93046562b86836ee9f6e2ee7ce063e478d0bc6498760d
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