Instructions to use dewifaj/text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dewifaj/text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dewifaj/text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dewifaj/text-classification") model = AutoModelForSequenceClassification.from_pretrained("dewifaj/text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9a1ebab90e416705ed20461328e95a41d594cce9f4a5d3a7c1b2db655605386
- Size of remote file:
- 442 MB
- SHA256:
- 023f64da098d76c4c99b8e6dbe2b25bfc0c85e60a2af963a32e23a433f5dba99
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