Instructions to use Mwnthai/legal-led with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mwnthai/legal-led with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Mwnthai/legal-led")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Mwnthai/legal-led") model = AutoModelForMaskedLM.from_pretrained("Mwnthai/legal-led", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3fdcccad93db63d226c7df876af2f96f354ed3489e920b8a2557dcd61234da2
- Size of remote file:
- 17.8 kB
- SHA256:
- fa6836fd5f31149586b880afd14eae4d873cadb30f7ead72960e715dcf535ef6
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