Instructions to use AleksandrAlgazinov/ModCon-Task-Identifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AleksandrAlgazinov/ModCon-Task-Identifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AleksandrAlgazinov/ModCon-Task-Identifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AleksandrAlgazinov/ModCon-Task-Identifier") model = AutoModelForSequenceClassification.from_pretrained("AleksandrAlgazinov/ModCon-Task-Identifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and link to paper
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag to the model card, ensuring the model can be found at https://huggingface.co/models?pipeline_tag=text-classification. It also links to the paper MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications.