Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AFZALS/ToxicClassification2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AFZALS/ToxicClassification2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AFZALS/ToxicClassification2.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AFZALS/ToxicClassification2.0") model = AutoModelForSequenceClassification.from_pretrained("AFZALS/ToxicClassification2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd7afca6f8591fb2ff138218d1e8cc4a07a7e0a01ac840ca4fd0c6fe35594e39
- Size of remote file:
- 5.2 kB
- SHA256:
- 785455f369f5169e3e9badb3666f89caf5f9a542ee93398eb9ea183a92304095
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