Instructions to use RJ3vans/ElectraCCVspanTagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RJ3vans/ElectraCCVspanTagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RJ3vans/ElectraCCVspanTagger")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RJ3vans/ElectraCCVspanTagger") model = AutoModelForTokenClassification.from_pretrained("RJ3vans/ElectraCCVspanTagger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from RJ3vans/ElectraCCVspanTagger: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/RJ3vans/ElectraCCVspanTagger/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://RJ3vans/ElectraCCVspanTagger@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/RJ3vans/ElectraCCVspanTagger/resolve/refs%2Fpr%2F1/tokenizer.json
711 kB
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