Instructions to use Tommert25/multibert_testrun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/multibert_testrun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/multibert_testrun")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/multibert_testrun") model = AutoModelForTokenClassification.from_pretrained("Tommert25/multibert_testrun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7292ff7789ae3b2b6b9b65662e9adbe447ac5c1e94be7799dc3e6712b420a72a
- Size of remote file:
- 4.03 kB
- SHA256:
- f4f46808e28052af76aa071877591bbcddfbd2404043038b8fa55acea6a4b7c2
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