Instructions to use Tommert25/RobBERTBestModelOct11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/RobBERTBestModelOct11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/RobBERTBestModelOct11")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/RobBERTBestModelOct11") model = AutoModelForTokenClassification.from_pretrained("Tommert25/RobBERTBestModelOct11") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67af76e2437ec539aa70665ebb0e2b2b50f3f20df6e03e6e5923fa3366185a35
- Size of remote file:
- 4.09 kB
- SHA256:
- 4a9351ab4354b2e8d890ba2189aa7cd36f3c9a64db55b2395325aa84497b43ad
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