Instructions to use Tommert25/MBERTdataaugmentation1511 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/MBERTdataaugmentation1511 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/MBERTdataaugmentation1511")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/MBERTdataaugmentation1511") model = AutoModelForTokenClassification.from_pretrained("Tommert25/MBERTdataaugmentation1511", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21e0178878b3a95fea1ff31f922bd3bbc49bfef3c8aaa43bda1f4eb9b2523f9a
- Size of remote file:
- 4.6 kB
- SHA256:
- 5f57b2149d0dd6a7a5bd85ef3b9536059a7af979909b73cf6d3b0043cf063988
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