Instructions to use clarin-pl/FastPDN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clarin-pl/FastPDN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="clarin-pl/FastPDN")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("clarin-pl/FastPDN") model = AutoModelForTokenClassification.from_pretrained("clarin-pl/FastPDN") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 467a1796f0fbca4c95a9283e9f01420b3e2c4163fc5e7f0f4c5c6db94dd05207
- Size of remote file:
- 496 MB
- SHA256:
- 2c0826de0adbb19a2e0a4094027e4ca03728b9cedb0445a1ecb278e9f7333a32
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