Text Classification
Transformers
Safetensors
English
longformer_intent_test
feature-extraction
longformer
intent-classification
nlp
custom_code
Instructions to use organiz-1/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use organiz-1/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="organiz-1/test-model", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("organiz-1/test-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
library_name: transformers
pipeline_tag: text-classification
language:
- en
tags:
- longformer
- intent-classification
- nlp
base_model:
- allenai/longformer-base-4096