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
- Xet hash:
- 642ac8edac8c711dc6baea451e510f5573910762cd4b3da9502ae7ad35859dfa
- Size of remote file:
- 5.84 kB
- SHA256:
- cc9127850890b3d7c93a5ce40bf8f446481539d61d447483c21feed2d8d72114
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