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", device_map="auto")
https://huggingface.co/scales-okn/docket-language-model/resolve/1339be44c4185b118318131a7fbca1d65f12c4ac/trainer_state.json
hf download hf://scales-okn/docket-language-model@1339be44c4185b118318131a7fbca1d65f12c4ac/trainer_state.json
curl -L -o trainer_state.json https://huggingface.co/scales-okn/docket-language-model/resolve/1339be44c4185b118318131a7fbca1d65f12c4ac/trainer_state.json
