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:
- e456076f8c934262878e583f3720e640952670aacdad107f67c87677ab7c4788
- Size of remote file:
- 1.25 kB
- SHA256:
- b45633bb971eb57b07835aacfe8de6e81a0d99818cd056e953395f9c531aab8a
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