Instructions to use Linseypass/scielectra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Linseypass/scielectra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Linseypass/scielectra")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Linseypass/scielectra") model = AutoModel.from_pretrained("Linseypass/scielectra") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb6219a34869adbb890b3c87e681838ab1b9bec06e7074ec664dff70f4c012c1
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size 53958720
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