Instructions to use mattymchen/gense-base-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mattymchen/gense-base-plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mattymchen/gense-base-plus")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mattymchen/gense-base-plus") model = AutoModel.from_pretrained("mattymchen/gense-base-plus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b46eb7e833cd3c4c4116d1111d1d7b59dc19ebf5aef04c889a501a66915970f
- Size of remote file:
- 892 MB
- SHA256:
- 1d541a8e6f758dede6ae2dcbc2f917bb6a85f8fcb123ab3a49f07b1f768981aa
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