Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use krishnareddy/hello_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krishnareddy/hello_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="krishnareddy/hello_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("krishnareddy/hello_classification_model") model = AutoModelForSequenceClassification.from_pretrained("krishnareddy/hello_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8ae96cb3231770a758a8cc1fcd80bff085470e98ae0835ae4e3cedad6941cd3
- Size of remote file:
- 4.6 kB
- SHA256:
- 0fef6bdf0dac2680b4c7438ce150871b7bf70589787d3313d9c3f9cdc6d70ec2
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