Instructions to use Tommert25/RobBERTBestModelOct13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/RobBERTBestModelOct13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/RobBERTBestModelOct13")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/RobBERTBestModelOct13") model = AutoModelForTokenClassification.from_pretrained("Tommert25/RobBERTBestModelOct13") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4a8e25b774b9068d4a60bbd54478317bef7c896178300e89fc09b9b2a7b2ee4
- Size of remote file:
- 4.09 kB
- SHA256:
- 01e9c07d9d6b67a9d08fcbf059c852d8b862293b8ddf83681fb0e572a5c255fa
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