Instructions to use kwang2049/TSDAE-askubuntu2nli_stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kwang2049/TSDAE-askubuntu2nli_stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kwang2049/TSDAE-askubuntu2nli_stsb")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kwang2049/TSDAE-askubuntu2nli_stsb") model = AutoModel.from_pretrained("kwang2049/TSDAE-askubuntu2nli_stsb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 173864b0801aa10f42c9be06a07337d94bcd6fc753e77650d06b8d2801a88b07
- Size of remote file:
- 438 MB
- SHA256:
- fd72b7c3ee66da3c576334cc0f687af00ac46a5a536e79531a7301c66f8cb729
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