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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("clarin-pl/FastPDN") model = AutoModelForTokenClassification.from_pretrained("clarin-pl/FastPDN", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from clarin-pl/FastPDN: direct link, hf CLI and curl.
- Browser
- Download file 2.3 MB
-
https://huggingface.co/clarin-pl/FastPDN/resolve/main/tokenizer.json
- Command line
-
hf download hf://clarin-pl/FastPDN/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/clarin-pl/FastPDN/resolve/main/tokenizer.json
2.3 MB
File too large to display, you can check the raw version instead.