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:
- 249b206cb45b40146f0a74f265f039cffb1243c895865759261e8e60d849f665
- Size of remote file:
- 667 MB
- SHA256:
- 74ff52ebf925fb3c952d8e380084b98cdfc41100757bbc22c6623bd01e7453ae
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