Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use vishalk4u/liar_binaryclassifier_distilbert_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishalk4u/liar_binaryclassifier_distilbert_cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vishalk4u/liar_binaryclassifier_distilbert_cased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vishalk4u/liar_binaryclassifier_distilbert_cased") model = AutoModelForSequenceClassification.from_pretrained("vishalk4u/liar_binaryclassifier_distilbert_cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f4754d97947dc0f004c346a924db7c62c4da2d437939cd78d2f62eea91830ec
- Size of remote file:
- 5.05 kB
- SHA256:
- 5e3983fa561aeb839f13e6a1baa444fb5eb4b6a68ae38353136b9be69cbdd809
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