Instructions to use dsfsi/PuoBERTa-POS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsfsi/PuoBERTa-POS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dsfsi/PuoBERTa-POS")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dsfsi/PuoBERTa-POS") model = AutoModelForTokenClassification.from_pretrained("dsfsi/PuoBERTa-POS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3681d728de08300dfeb2bbfefd913b9a4e3a2eabecabb261c77242412567b508
- Size of remote file:
- 332 MB
- SHA256:
- f1ace8795af73685f02bea5165d91f0bc9ba3b3ec8cdb518ebe60af1d9f7957b
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