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")# pip install -U transformers accelerate # 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
Download git/description from wajidlinux99/gibberish-text-detector: direct link, hf CLI and curl.
- Browser
- Download file 73 Bytes
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https://huggingface.co/wajidlinux99/gibberish-text-detector/resolve/main/git/description
- Command line
-
hf download hf://wajidlinux99/gibberish-text-detector/git/description
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curl -L -o description https://huggingface.co/wajidlinux99/gibberish-text-detector/resolve/main/git/description
73 Bytes
| Unnamed repository; edit this file 'description' to name the repository. | |