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") - Inference
- Notebooks
- Google Colab
- Kaggle
| # git ls-files --others --exclude-from=.git/info/exclude | |
| # Lines that start with '#' are comments. | |
| # For a project mostly in C, the following would be a good set of | |
| # exclude patterns (uncomment them if you want to use them): | |
| # *.[oa] | |
| # *~ | |