Text Classification
Transformers
Safetensors
distilbert
0.0.2
Generated from Trainer
text-embeddings-inference
Instructions to use tinutmap/ai-categories-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tinutmap/ai-categories-text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tinutmap/ai-categories-text")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tinutmap/ai-categories-text") model = AutoModelForSequenceClassification.from_pretrained("tinutmap/ai-categories-text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e69376c78d74f87d3924cd15df62704b16e6bba610f739db0d8e1b195b42324
- Size of remote file:
- 5.71 kB
- SHA256:
- 922c5dcf9bf90f6d53d804b222f8514bc713825f483d0312451dae50335acf88
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