Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use kozy9/Learning_file with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kozy9/Learning_file with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kozy9/Learning_file")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kozy9/Learning_file") model = AutoModelForSequenceClassification.from_pretrained("kozy9/Learning_file", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7887c7fb6bc7845971136cf9822aacfb0cf16f1754a508b0f14df2c315cdf3f
- Size of remote file:
- 5.84 kB
- SHA256:
- c45d98f390fdeb4547512dfb5e3ae3a55f69a546fdbaf172bb36cd5633ed8784
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