Maintainer of huggingface/transformers. Open Source developer.
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Hugging Face
- Chinatown, New York
- Lysand.re
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huggingface/transformers Public
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. -
Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!
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huggingface/datasets Public
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools -
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2,403 contributions in the last year
Activity overview
Contributed to
huggingface/transformers,
adapter-hub/adapter-transformers,
huggingface/huggingface_hub
and 30 other
repositories
Contribution activity
May 2022
Created 8 commits in 3 repositories
Created 1 repository
- LysandreJik/optimum Python
Created a pull request in huggingface/transformers that received 3 comments
Make the sacremoses dependency optional
Sacremoses is currently installed by default when installing transformers, but it should not be needed. This is an artifact of the past, and we hav…
+63
−12
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3
comments
Opened 1 other pull request in 1 repository
huggingface/transformers
1
merged
Reviewed 33 pull requests in 3 repositories
huggingface/transformers
25 pull requests
- Fix typo in bug report template
- Update self-push workflow
- Black preview
- Add onnx export cuda support
- Add LayoutLMv3
- Add OPT
- bert: add conversion script for BERT Token Dropping TF2 checkpoints
- MobileBERT tokenizer tests
- Add DebertaV2ForMultipleChoice
- Fix template init
- Add the auto_find_batch_size capability from Accelerate into Trainer
- Fix Pyright static type checking by replacing if-else imports with try-except
- split single_gpu and multi_gpu
- Remove torchhub test
- Fix missing "models" in pipeline test module
- Fix DeBERTa token_type_ids
- Bump notebook from 6.4.1 to 6.4.10 in /examples/research_projects/lxmert
- Bump notebook from 6.4.1 to 6.4.10 in /examples/research_projects/visual_bert
- Deprecate model templates
- Make sure telemetry arguments are not returned as unused kwargs
- Remove device parameter from create_extended_attention_mask_for_decoder
- Remove Python and use v2 action
- Fix RNG reload in resume training from epoch checkpoint
- Make Trainer compatible with sharded checkpoints
- [T5 Tokenizer] Model has no fixed position ids - there is no hardcode…
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