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/packed-refs from wajidlinux99/gibberish-text-detector: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/wajidlinux99/gibberish-text-detector/resolve/main/git/packed-refs
- Command line
-
hf download hf://wajidlinux99/gibberish-text-detector/git/packed-refs
-
curl -L -o packed-refs https://huggingface.co/wajidlinux99/gibberish-text-detector/resolve/main/git/packed-refs
112 Bytes
| # pack-refs with: peeled fully-peeled sorted | |
| db6c021260b82f42ba81a4e48dc2906ca8ba25c8 refs/remotes/origin/main | |