Instructions to use iknoor/UTDRM-MPNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iknoor/UTDRM-MPNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="iknoor/UTDRM-MPNet")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("iknoor/UTDRM-MPNet") model = AutoModel.from_pretrained("iknoor/UTDRM-MPNet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c5c2ba9093308862512613fb310920941a4ae02e79a19981d68e1f770d73ca0
- Size of remote file:
- 438 MB
- SHA256:
- 72aee1d7307fce8c2865007c98826ab81e65a8cb78920f19778f416ce85c3ed7
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