Instructions to use tartuNLP/EstBERT_UPOS_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tartuNLP/EstBERT_UPOS_128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tartuNLP/EstBERT_UPOS_128")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tartuNLP/EstBERT_UPOS_128") model = AutoModelForTokenClassification.from_pretrained("tartuNLP/EstBERT_UPOS_128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bb0873634310282b645cc7ee51bd0c435de320f9a5ca0e8a04e7738c218292a
- Size of remote file:
- 498 MB
- SHA256:
- 3706e5a3e14aff4db53436c9c3eb7ba9a235ea04f9fb5c07bd7aa3acfd059d42
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