Instructions to use rafaelkallis/tickettagger-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rafaelkallis/tickettagger-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rafaelkallis/tickettagger-roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rafaelkallis/tickettagger-roberta") model = AutoModelForSequenceClassification.from_pretrained("rafaelkallis/tickettagger-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (0b98d4e4ec9fcfce11c2fc050d593bfc79d9b752) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>526cbb0
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Create README.md
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nlbse baseline
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