Instructions to use OpenMatch/Web-Graph-Embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/Web-Graph-Embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMatch/Web-Graph-Embedding")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OpenMatch/Web-Graph-Embedding") model = AutoModel.from_pretrained("OpenMatch/Web-Graph-Embedding") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37039d979a4c10020192b6aa59fd0063ac303d8da70bd303d62fd6f3ee1b292c
- Size of remote file:
- 4.03 kB
- SHA256:
- 1dc1e5384eb0162a21634219215ba1f0ba205fdde78b0b6c7f10f0ee66f64bc3
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