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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("convoicon/APT_encoder") model = AutoModel.from_pretrained("convoicon/APT_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from convoicon/APT_encoder: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/convoicon/APT_encoder/resolve/main/tokenizer.json
- Command line
-
hf download hf://convoicon/APT_encoder/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/convoicon/APT_encoder/resolve/main/tokenizer.json
712 kB
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