Instructions to use convoicon/APT_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use convoicon/APT_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="convoicon/APT_encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("convoicon/APT_encoder") model = AutoModel.from_pretrained("convoicon/APT_encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fb996138dd1e53a98d158e97ba612b6e9b8f5da4417f4717954ffd9620f2abd
- Size of remote file:
- 438 MB
- SHA256:
- 17138f5fd5acca0f1ade5d0b3b8ef7b4c351a6e006b3ef2212825d4c493a8c66
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