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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 918a932f472c10941eee6aeb857d181205dfaeb58db7fe66ae2663ed105a5161
- Size of remote file:
- 465 MB
- SHA256:
- d5eeb39e92ee52836c23bb275ca406fe48db70fc4d3905d9bcd0dfe66016edc0
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