Text Classification
Transformers
Safetensors
English
roberta
policy
coherence
government
text-embeddings-inference
Instructions to use akaburia/policy-evaluations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akaburia/policy-evaluations with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akaburia/policy-evaluations")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akaburia/policy-evaluations") model = AutoModelForSequenceClassification.from_pretrained("akaburia/policy-evaluations", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
datasets:
- akaburia/policy-evaluations
language:
- en
metrics:
- recall
- precision
- f1
base_model:
- FacebookAI/roberta-large
library_name: transformers
tags:
- policy
- coherence
- government