Instructions to use RJ3vans/CCVspanTagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RJ3vans/CCVspanTagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RJ3vans/CCVspanTagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RJ3vans/CCVspanTagger") model = AutoModelForTokenClassification.from_pretrained("RJ3vans/CCVspanTagger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af7950c5f076d9638e506a80be361d496734f7477ab5c5cfd71ffd20f1c19f63
- Size of remote file:
- 1.33 GB
- SHA256:
- bd009981e7941aaca2fdd69da2fa6fea5e75ca47acdab3873da8726f9a7df6f5
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