Instructions to use cuadron11/25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/25")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/25") model = AutoModelForTokenClassification.from_pretrained("cuadron11/25", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73aed37235f2f7cfdeca210001cba24567237cf6c65be2cc88805f9e61f00d59
- Size of remote file:
- 3.58 kB
- SHA256:
- dcc6cb7cb5f9011c0821bc520ae230eb5a6fc18ededa802991f661dabecd0895
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