Text Classification
Transformers
PyTorch
English
distilbert
text
nlp
correction
text-embeddings-inference
Instructions to use wajidlinux99/gibberish-text-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wajidlinux99/gibberish-text-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wajidlinux99/gibberish-text-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wajidlinux99/gibberish-text-detector") model = AutoModelForSequenceClassification.from_pretrained("wajidlinux99/gibberish-text-detector", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
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