Instructions to use Tommert25/robbert_testrun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/robbert_testrun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/robbert_testrun")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/robbert_testrun") model = AutoModelForTokenClassification.from_pretrained("Tommert25/robbert_testrun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e13da75d1cbf21826f49106158fd2b68db4430ac5c74c20ec7eb4238ed07fc38
- Size of remote file:
- 465 MB
- SHA256:
- 27dae56494f84595389d3d1fafcfba7df92045ff987587d560164bc40ffd30b4
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