Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use tinutmap/categor_ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tinutmap/categor_ai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tinutmap/categor_ai")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tinutmap/categor_ai") model = AutoModelForSequenceClassification.from_pretrained("tinutmap/categor_ai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f069a8ebc55af6ae78c5c03070378126ac001db15e78352c7703f3fdc92d953
- Size of remote file:
- 4.66 kB
- SHA256:
- 679262266ddfdffedfc37cee0e2c6f73b7933f73e147e5f0ef360f5a3c9d7b65
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