Instructions to use malteos/specter-wol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malteos/specter-wol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="malteos/specter-wol")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("malteos/specter-wol") model = AutoModel.from_pretrained("malteos/specter-wol") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
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- model.safetensors +3 -0
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oid sha256:9ec64ba8a25cf8800ac6d0327e36050482b808617e543c8cc4c36cd9e869b850
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size 439700408
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