Instructions to use thunlp/Lawformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thunlp/Lawformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="thunlp/Lawformer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("thunlp/Lawformer") model = AutoModelForMaskedLM.from_pretrained("thunlp/Lawformer") - Inference
- Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json
Browse files- tokenizer.json +0 -0
tokenizer.json
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