Instructions to use soeque1/kosimcse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soeque1/kosimcse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="soeque1/kosimcse")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("soeque1/kosimcse") model = AutoModel.from_pretrained("soeque1/kosimcse") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acc0c9bbfb49d1870db39855c9f9bb25c6741f8989659c03441ed48c95001204
- Size of remote file:
- 369 MB
- SHA256:
- dfc5a3813288639224cfdba3c0d18b002ab37413f1dee468ad3e0687ca4de351
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.