Instructions to use Tommert25/multibert_dataaugmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/multibert_dataaugmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/multibert_dataaugmentation")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/multibert_dataaugmentation") model = AutoModelForTokenClassification.from_pretrained("Tommert25/multibert_dataaugmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 930e7e3fc4d185b36bde6fed283a7ce633a5726d7197791f5e2d966db00eb5af
- Size of remote file:
- 4.09 kB
- SHA256:
- 6fbe84d2079d9817d511173da7b3857d37c86e61a43631c5db089e832e25f378
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