Instructions to use HakHan/Web-Graph-Embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HakHan/Web-Graph-Embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HakHan/Web-Graph-Embedding")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HakHan/Web-Graph-Embedding") model = AutoModel.from_pretrained("HakHan/Web-Graph-Embedding") - Notebooks
- Google Colab
- Kaggle
| { | |
| "tied": true, | |
| "plm_backbone": { | |
| "type": "T5Model", | |
| "feature": "last_hidden_state" | |
| }, | |
| "pooling": "first", | |
| "linear_head": false, | |
| "normalize": false | |
| } |