Instructions to use tartuNLP/EstBERT_XPOS_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tartuNLP/EstBERT_XPOS_128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tartuNLP/EstBERT_XPOS_128")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tartuNLP/EstBERT_XPOS_128") model = AutoModelForTokenClassification.from_pretrained("tartuNLP/EstBERT_XPOS_128") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7727839ff4bcfb09412942136e5991ce17815298acc28caf68cdf20b3e86769d
- Size of remote file:
- 498 MB
- SHA256:
- 2b46a4856b7e4705791177c174d21ba30fd1ae549616ffe04ebaad5a528327db
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