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:
- 7b75e415b99e4d8a032f8dd31c1480abab88b4f1856a171b4fe9301d409cff02
- Size of remote file:
- 268 MB
- SHA256:
- 9af7d522470682b4a2af1cf8d9bbd3968b9556ce1d19f0d3a6dc7509c1751f56
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