Instructions to use scales-okn/docket-language-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scales-okn/docket-language-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="scales-okn/docket-language-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("scales-okn/docket-language-model") model = AutoModelForMaskedLM.from_pretrained("scales-okn/docket-language-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42044cfd55f9ab96ddd0606fff28c1566fe5c9a226a8cacf3442192fe249d3fd
- Size of remote file:
- 3.25 kB
- SHA256:
- 4b9874199dc5f46d210c0e39f0b3dda226896ad2a17cfa13b24e5fa6683a92be
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