Text Classification
Transformers
Safetensors
English
bert
industrial-policy
economics
policy-analysis
government-policy
trade-policy
text-embeddings-inference
Instructions to use industrialpolicygroup/industrialpolicy-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use industrialpolicygroup/industrialpolicy-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="industrialpolicygroup/industrialpolicy-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("industrialpolicygroup/industrialpolicy-classifier") model = AutoModelForSequenceClassification.from_pretrained("industrialpolicygroup/industrialpolicy-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from industrialpolicygroup/industrialpolicy-classifier: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/industrialpolicygroup/industrialpolicy-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://industrialpolicygroup/industrialpolicy-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/industrialpolicygroup/industrialpolicy-classifier/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- f25cdf5e733eb0c606b9b5ec014ca5dcfcfb3a09a07f736a1489f1b0ba89a303
- Size of remote file:
- 4.09 kB
- SHA256:
- db96411a66f890b4c49f005ff274c91c418a46159a861b66b101e7efbc3d310f
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