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
Update README.md
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README.md
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model-index:
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- name: deberta-v3-large-ddlm
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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.20.0.dev0
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- Pytorch 1.10.0+cu102
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- Datasets 1.15.1
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- Tokenizers 0.11.0
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model-index:
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- name: deberta-v3-large-ddlm
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results: []
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license: gpl-3.0
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Tokenizers 0.11.0
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