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:
- 8f339b958b4de19db1d116505d9b0a17e8b84f8b4c349b705229dbfedd62c447
- Size of remote file:
- 496 MB
- SHA256:
- 435064ac8dbb1cbbbe39836f4283ace0e8f7236c86df2384b32611b709b735f7
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