Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Intradiction/text_classification_NoLORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intradiction/text_classification_NoLORA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intradiction/text_classification_NoLORA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intradiction/text_classification_NoLORA") model = AutoModelForSequenceClassification.from_pretrained("Intradiction/text_classification_NoLORA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81a90bc9de1e7a3717f327a3280a1b2085726076579516376647dac74318d856
- Size of remote file:
- 4.6 kB
- SHA256:
- c1654842b74cff3e96a57a0ee7e5dab8bdaf82676c0550da99bd0711a8791dca
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