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 pytorch_model.bin from scales-okn/docket-language-model: direct link, hf CLI and curl.
- Browser
- Download file 1.74 GB
-
https://huggingface.co/scales-okn/docket-language-model/resolve/refs%2Fpr%2F2/pytorch_model.bin
- Command line
-
hf download hf://scales-okn/docket-language-model@refs/pr/2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/scales-okn/docket-language-model/resolve/refs%2Fpr%2F2/pytorch_model.bin
1.74 GB
- Xet hash:
- 47b75d8353ed653bcd757048cc73ac16db64c1dabde03bb307c6a0a592e56d2a
- Size of remote file:
- 1.74 GB
- SHA256:
- 795d781ad75b4e0cdf0460f9855fe1b6051bf1f9f26a7dbce559a1903046947e
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