Instructions to use cuadron11/5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/5")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/5") model = AutoModelForTokenClassification.from_pretrained("cuadron11/5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46e4d4cc8934136781b68abb01e43c1ee53ad160ff4aa184527d02f37d799d23
- Size of remote file:
- 496 MB
- SHA256:
- 39f8b43a640aaeec77e674a85b314a3167cf982c4e4fd5a3123437d302f6d4bf
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