Instructions to use circulartext/lawinorders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use circulartext/lawinorders with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="circulartext/lawinorders")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("circulartext/lawinorders") model = AutoModelForSequenceClassification.from_pretrained("circulartext/lawinorders", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d203353cb671bcd3569f7cbfd662afa8c414d46390af5593d00e520ee4e1a71
- Size of remote file:
- 438 MB
- SHA256:
- e3e6f9c081c22419c515a401e027ff0d50d48df9de1abdd3fe0294befe4b5789
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