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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Linseypass/scielectra") model = AutoModel.from_pretrained("Linseypass/scielectra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Linseypass/scielectra: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
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https://huggingface.co/Linseypass/scielectra/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://Linseypass/scielectra@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Linseypass/scielectra/resolve/refs%2Fpr%2F1/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.