Instructions to use pixelsandpointers/bert-base-uncased-dailydialog-turn-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pixelsandpointers/bert-base-uncased-dailydialog-turn-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pixelsandpointers/bert-base-uncased-dailydialog-turn-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pixelsandpointers/bert-base-uncased-dailydialog-turn-classifier") model = AutoModelForSequenceClassification.from_pretrained("pixelsandpointers/bert-base-uncased-dailydialog-turn-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Benjamin Beilharz commited on
Commit ·
e9651c3
1
Parent(s): feee729
Training in progress, step 19000
Browse files
pytorch_model.bin
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