Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use tinutmap/categor_ai_23_cats_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tinutmap/categor_ai_23_cats_train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tinutmap/categor_ai_23_cats_train")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tinutmap/categor_ai_23_cats_train") model = AutoModelForSequenceClassification.from_pretrained("tinutmap/categor_ai_23_cats_train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ead9cdbd4a5f13f9281ae0772a5db3b2a6ebf9491fc172f2454e78f8fc9296c
- Size of remote file:
- 5.18 kB
- SHA256:
- aa60321e9e9cde4c186900b6e64becbf261c9fdb32e551e15523262baba488da
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