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
| [core] | |
| repositoryformatversion = 0 | |
| filemode = true | |
| bare = false | |
| logallrefupdates = true | |
| [remote "origin"] | |
| url = https://huggingface.co/madhurjindal/autonlp-Gibberish-Detector-492513457 | |
| fetch = +refs/heads/*:refs/remotes/origin/* | |
| [branch "main"] | |
| remote = origin | |
| merge = refs/heads/main | |