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 pytorch_model.bin from clarin-pl/FastPDN: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/clarin-pl/FastPDN/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://clarin-pl/FastPDN/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/clarin-pl/FastPDN/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 433121d6418d3f52f8c95b58e1291cbd2052dfb205b18561fc6a1982195f6cb9
- Size of remote file:
- 496 MB
- SHA256:
- 48ee72c68e72c35fe9a4f583fdb17442800c66a01d3ed4c2f44b8c1d3f54dd1a
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