Instructions to use scales-okn/docket-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scales-okn/docket-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="scales-okn/docket-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("scales-okn/docket-encoder") model = AutoModel.from_pretrained("scales-okn/docket-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bbdb216f6d8ce38873699bc67619aaeda5d294a8e58d6e9753144ca2353511b
- Size of remote file:
- 1.74 GB
- SHA256:
- 3d574abd5731eb50bc026d4034aaf4c317a9bbc5fa473b77197c5fa3c7ce29e7
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