Instructions to use horychtom/llm-embedder-math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use horychtom/llm-embedder-math with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("horychtom/llm-embedder-math") model = AutoModel.from_pretrained("horychtom/llm-embedder-math") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ba70b6977ac5e98d327fec8b649f4293a1ec025fca11cf0ce754b46dcbb192b
- Size of remote file:
- 438 MB
- SHA256:
- f606e672004e096e1b394a64d476f4976091565aeca449169359576e90318ada
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