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
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|begin_of_text|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|end_of_text|>", | |
| "is_local": true, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 131072, | |
| "pad_token": "<|end_of_text|>", | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |