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:
- e352c632e4205099823c1919fe0b45ba7ea1b06cad2484c1369f3c577aec9cb9
- Size of remote file:
- 4.03 kB
- SHA256:
- ff1d095f6369151700692fa531c45056a0ca32dcdc5ba1ced0a1958ba9a2dc84
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