Instructions to use bergum/product_title_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bergum/product_title_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bergum/product_title_encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bergum/product_title_encoder") model = AutoModel.from_pretrained("bergum/product_title_encoder") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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