Text Classification
Transformers
Safetensors
llama
classification
bias-detection
text-embeddings-inference
Instructions to use QuixiAI/ReAligned-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuixiAI/ReAligned-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="QuixiAI/ReAligned-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("QuixiAI/ReAligned-Classifier") model = AutoModelForSequenceClassification.from_pretrained("QuixiAI/ReAligned-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1ed5d684df18eb4190d0272d4909f7038aab1bde2ca1d20e86c59d683590b06
- Size of remote file:
- 2.47 GB
- SHA256:
- 786cdfc136dd5460dc4238c4d630d1d4222d868c0b2a17eb146feba2aca7bb75
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