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:
- d4ab56264a3a10ea691f8d65e0ef913d9b26aff811cdfafa2bf687a04f4e3c00
- Size of remote file:
- 4.14 kB
- SHA256:
- e8298f5837c6fc1ea9dc180847efdfd7c90318be05656a54be3c61ebddb8952d
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