Instructions to use RJ3vans/SSCCVspanTagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RJ3vans/SSCCVspanTagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RJ3vans/SSCCVspanTagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RJ3vans/SSCCVspanTagger") model = AutoModelForTokenClassification.from_pretrained("RJ3vans/SSCCVspanTagger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c22ea156a7f153a19823fcf7626b41db67060a7f6da368c10ecb718a42a0e883
- Size of remote file:
- 1.33 GB
- SHA256:
- 2c33c324ce65345f9e42d38b5acb097452345fdfd04e2e3faf85600189faa6a7
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