Instructions to use AliaeAI/dialogact_classification_bert_multilabel_v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AliaeAI/dialogact_classification_bert_multilabel_v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AliaeAI/dialogact_classification_bert_multilabel_v5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AliaeAI/dialogact_classification_bert_multilabel_v5") model = AutoModelForSequenceClassification.from_pretrained("AliaeAI/dialogact_classification_bert_multilabel_v5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a051c8a65ead752351b9cb5575503ef6223ea61f5c913ffb1a7d9304d74523cd
- Size of remote file:
- 438 MB
- SHA256:
- 2be98fe485618cbd203d67644ab6cc246ed3c0a4f94749d831edd7023a1f94f9
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