Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use madanagrawal/text_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madanagrawal/text_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="madanagrawal/text_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("madanagrawal/text_classifier") model = AutoModelForSequenceClassification.from_pretrained("madanagrawal/text_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6be3e7a0df6e4e0a956d081602968624ccb1e9d40d227dc7a20540bf783d75d5
- Size of remote file:
- 4.73 kB
- SHA256:
- 6b86930171b7591c5ba2bcfd0992a3b855133a1d933295962be5e71e7c16c536
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