Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use katzenbach/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use katzenbach/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="katzenbach/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("katzenbach/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("katzenbach/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc28908f2e65de62522f87bc2fd337920ae04ff20b36c4c568976b418cab0d5f
- Size of remote file:
- 4.54 kB
- SHA256:
- a1d0240aa6d13b22435c926b26cb72fd47ddae7deb6bbbab7c594cccb1174b77
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