Instructions to use mamiksik/T5-commit-message-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mamiksik/T5-commit-message-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mamiksik/T5-commit-message-generation") model = AutoModelForSeq2SeqLM.from_pretrained("mamiksik/T5-commit-message-generation") - Notebooks
- Google Colab
- Kaggle
Experiment ID: 3cmghqks
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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{
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"_name_or_path": "/home/s2498103/bsc-model/src/../output-model/
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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": "/home/s2498103/bsc-model/src/../output-model/3cmghqks",
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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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oid sha256:
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size 891625617
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc05103945349a11cab90066e885eba9b2829ab5b8baaafd6be3ee18cd885b2f
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size 891625617
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