Instructions to use mrapacz/interlinear-pl-greta-baseline-normalized-unused with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrapacz/interlinear-pl-greta-baseline-normalized-unused with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrapacz/interlinear-pl-greta-baseline-normalized-unused") model = AutoModelForSeq2SeqLM.from_pretrained("mrapacz/interlinear-pl-greta-baseline-normalized-unused", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload T5ForConditionalGeneration
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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{
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"_name_or_path": "../workspaces/exp512_3_INTMT-
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"architectures": [
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"T5ForConditionalGeneration"
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],
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{
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"_name_or_path": "../workspaces/exp512_3_INTMT-6646/best_model",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:716cf1711cbb3f4dad157f271b292de8088f12e155b296c2852cd70f29cd35a6
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size 989655794
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