Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use C-L-V/PsyDefDetect_roberta-base_merged_lr-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use C-L-V/PsyDefDetect_roberta-base_merged_lr-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="C-L-V/PsyDefDetect_roberta-base_merged_lr-5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("C-L-V/PsyDefDetect_roberta-base_merged_lr-5") model = AutoModelForSequenceClassification.from_pretrained("C-L-V/PsyDefDetect_roberta-base_merged_lr-5") - Notebooks
- Google Colab
- Kaggle
Ctrl+K