Instructions to use docketanalyzer/docket-lm-xs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use docketanalyzer/docket-lm-xs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="docketanalyzer/docket-lm-xs")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("docketanalyzer/docket-lm-xs") model = AutoModelForMaskedLM.from_pretrained("docketanalyzer/docket-lm-xs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abe55477e6a02d40e9611a2442ec2cfd870e0a5de67d4a80334e3cdfa4fcedbb
- Size of remote file:
- 142 MB
- SHA256:
- cafe6a250bd878d02d848aa3fc2f543b0408ba27b3f09ef4c5ace3528153e526
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