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") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("akaburia/policy-evaluations")
model = AutoModelForSequenceClassification.from_pretrained("akaburia/policy-evaluations")Quick Links
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Model tree for akaburia/policy-evaluations
Base model
FacebookAI/roberta-large
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akaburia/policy-evaluations")