Instructions to use projecte-aina/multiner_ceil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/multiner_ceil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="projecte-aina/multiner_ceil")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/multiner_ceil") model = AutoModelForTokenClassification.from_pretrained("projecte-aina/multiner_ceil") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f474e098b567bbcba14588e9ae6900d5bc91a4c37a82f870440045cba3cd0465
- Size of remote file:
- 1.42 GB
- SHA256:
- bb2e39405ed613ac638e75ad71e1b7fbb69b3f29047dce536d643807d7df33d1
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