Instructions to use docketanalyzer/docket-lm-xs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use docketanalyzer/docket-lm-xs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="docketanalyzer/docket-lm-xs")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("docketanalyzer/docket-lm-xs") model = AutoModelForMaskedLM.from_pretrained("docketanalyzer/docket-lm-xs") - Notebooks
- Google Colab
- Kaggle
Upload DebertaV2ForMaskedLM
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "
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"transformers_version": "4.40.0",
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"type_vocab_size": 0,
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"vocab_size": 128100
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float16",
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"transformers_version": "4.40.0",
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"type_vocab_size": 0,
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"vocab_size": 128100
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:cafe6a250bd878d02d848aa3fc2f543b0408ba27b3f09ef4c5ace3528153e526
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size 141942344
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