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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 784b021a5d593b988c872f2d4f32f80aa1dd30bc055591ce09d159db02e2c739
- Size of remote file:
- 268 MB
- SHA256:
- 9fe3da2197ee3a23e5bffb8cfc6ba28fdc9aff4e5777f2b668ed4a0841a934d7
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