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:
- 0c51add90226b17d550d2ee425347461e1e2e7964c8fce8dcaa97e183320f62f
- Size of remote file:
- 1.25 kB
- SHA256:
- 2ec4e82e0457cdc0013148b614877135147412d31b8f916a4eaae3ad682b336a
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