Commit History

feat: cleanup encode_dataset
ae754a3

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feat: install black and isort
d2ec1ea

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feat: add Makefile
6f19a1f

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style: use isort
d209547

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doc: setup instructions
fb1fbca

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feat: add isort action
8b80a79

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style: reformat per black
8db9ed4

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feat: update black action
d54a7be

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feat: add black action
5750492

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feat(train): merge logged dict
baa52db

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doc(README): update links
5f44d34

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feat: add dev dependencies
2a3b8df

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chore: move files
46f7469

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chore: remove unused files
07eca3c

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feat(model): set default config for legacy models
92ccf4c

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refactor: captioned_strip used only in gradio
0ca6514

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feat: reorganize app
d4e833e

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Merge pull request #111 from borisdayma/feat-data
db7d521
unverified

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fix(data): minor bugs
0fe3e72

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feat: handle data in separate file
85c1b8e

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feat: add samples
e6c2573
unverified

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feat: add more samples
b3b48e3
unverified

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Merge pull request #108 from borisdayma/feat-inf
24d30c9
unverified

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feat: simplify app
74974be

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Merge pull request #109 from borisdayma/feat-model_pretrained
6016fc0
unverified

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feat: don't ignore mismatched
2be9847

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fix: correct clip params
5b16588

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feat(log_inference_samples): cleanup
cb127c4

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feat: avoid OOM
80b41d1

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feat: use pretrained weights
0a77f72

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refactor: move to tools
4e4a30f

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feat: add cool samples
3a3bee8

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Merge pull request #107 from borisdayma/feat-seq2seq
2816f98
unverified

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feat: update required libraries
c55ecf8

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feat: update samples
321a5c2

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feat: use_auth_token + seed for dataset and model
eac6890

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feat: use custom TrainingArguments
85748ef

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fix: comments
bab75aa

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fix: fixes training script
0df810d

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fix: log train_metric only if defined
9bf9397

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feat: add metrics + cleanup
6523a6d

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feat: simplify parameters
87fac28

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fix: correct use of dtype
b7d8724

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feat: use model definition
803c7df

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fix(inference): update flax version (temporary fix)
6aa30f5

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doc: update README
931b52f
unverified

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feat(text): more char
bf25d32

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feat(text): improvements on pre-processing
7b58e88

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feat(text): handle dates & prices
0465605

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feat: keep %
229cdc0

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