Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
Instructions to use Amir13/xlm-roberta-base-uk-base-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amir13/xlm-roberta-base-uk-base-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Amir13/xlm-roberta-base-uk-base-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Amir13/xlm-roberta-base-uk-base-ner") model = AutoModelForTokenClassification.from_pretrained("Amir13/xlm-roberta-base-uk-base-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b985e8c45cbde3507b372b663b4130889d831c8f0e2e9b2eca524d250a9d539f
- Size of remote file:
- 3.45 kB
- SHA256:
- 675d6058ee09de54ad640be2db6db47f135e77fbaf645481d1fd025da9f6bd9c
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