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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from scales-okn/docket-language-model: direct link, hf CLI and curl.
- Browser
- Download file 3.48 GB
-
https://huggingface.co/scales-okn/docket-language-model/resolve/refs%2Fpr%2F3/optimizer.pt
- Command line
-
hf download hf://scales-okn/docket-language-model@refs/pr/3/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/scales-okn/docket-language-model/resolve/refs%2Fpr%2F3/optimizer.pt
3.48 GB
- Xet hash:
- 8c7616493a13648a820c80ddf344bc9d43df9489f4f724c32b2713d9f1f81267
- Size of remote file:
- 3.48 GB
- SHA256:
- cb5c9545a39c622eb7770b22f2f30dd4e7746a7b8830ff6c26f4c11c1c127ff5
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