Instructions to use heydariAI/persian-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heydariAI/persian-embeddings with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="heydariAI/persian-embeddings")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("heydariAI/persian-embeddings") model = AutoModel.from_pretrained("heydariAI/persian-embeddings", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e4aacbf93c350fd30c9427e3e311efb3e238f908732b3f4bbca8a3e8bb0424e
- Size of remote file:
- 17.1 MB
- SHA256:
- f7bc482bbe4d17395039e8c52dfd60092475c46bdcd8cd16c7238b2c522cd2c8
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