Instructions to use PereLluis13/question_encoder_blink with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PereLluis13/question_encoder_blink with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PereLluis13/question_encoder_blink", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("PereLluis13/question_encoder_blink", trust_remote_code=True) model = AutoModel.from_pretrained("PereLluis13/question_encoder_blink", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Commit ·
82a8cc2
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Parent(s): a22b999
Upload model
Browse files- pytorch_model.bin +2 -2
pytorch_model.bin
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