Instructions to use DeepSoftwareAnalytics/CoCoSoDa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepSoftwareAnalytics/CoCoSoDa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DeepSoftwareAnalytics/CoCoSoDa")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DeepSoftwareAnalytics/CoCoSoDa") model = AutoModel.from_pretrained("DeepSoftwareAnalytics/CoCoSoDa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c830171f1edc9052f134371851443fb9625e08970063bb471c7f2d096c8eaf67
- Size of remote file:
- 504 MB
- SHA256:
- cecc8f0ebcc1d500878966abc8be29c23d282de47a9328da415d6056168798ac
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.