Text Classification
Transformers
Safetensors
English
roberta
toxicity
llada
distillation
custom_code
text-embeddings-inference
Instructions to use kl1/roberta_toxicity_classifier_LLaDA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kl1/roberta_toxicity_classifier_LLaDA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kl1/roberta_toxicity_classifier_LLaDA", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kl1/roberta_toxicity_classifier_LLaDA", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("kl1/roberta_toxicity_classifier_LLaDA", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| "<|mdm_mask|>", | |
| "<role>", | |
| "</role>", | |
| "<|arithmetic_start|>", | |
| "<|arithmetic_end|>", | |
| "<|number_start|>", | |
| "<|number_end|>" | |
| ], | |
| "bos_token": { | |
| "content": "<|startoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "cls_token": { | |
| "content": "[CLS]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |