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
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README.md
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Additionally, labels for Named entities (NAME), language independent utterances (NON) and words from other languages (OTH) are used.
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## Training procedure
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### Training hyperparameters
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Additionally, labels for Named entities (NAME), language independent utterances (NON) and words from other languages (OTH) are used.
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## Training procedure
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Here is the code to run this model:
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https://colab.research.google.com/drive/1h_HiQkoo_yALTvHtiWleF9MMvCmPqmXk?usp=sharing
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### Training hyperparameters
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