Instructions to use Lelon/scope-en-sfu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lelon/scope-en-sfu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Lelon/scope-en-sfu")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Lelon/scope-en-sfu") model = AutoModelForTokenClassification.from_pretrained("Lelon/scope-en-sfu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Lelon/scope-en-sfu: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
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https://huggingface.co/Lelon/scope-en-sfu/resolve/main/tokenizer.json
- Command line
-
hf download hf://Lelon/scope-en-sfu/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Lelon/scope-en-sfu/resolve/main/tokenizer.json
8.65 MB
File too large to display, you can check the raw version instead.