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xlm-roberta-flash-implementation

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xlm-roberta-flash-implementation

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10 contributors

History: 16 commits

moontidef

feat: add support for sentence classifier

08469c4 about 1 year ago

.gitattributes

1.52 kB

initial commit about 1 year ago
README.md

147 Bytes

add mlm model and adjust naming about 1 year ago
block.py

17.7 kB

add stochastic_depth about 1 year ago
config.json

980 Bytes

feat: add support for sentence classifier about 1 year ago
configuration_xlm_roberta.py

2.06 kB

Support torch_dtype and CLS pooling (#6) about 1 year ago
convert_roberta_weights_to_flash.py

6.94 kB

feat: add support for sentence classifier about 1 year ago
embedding.py

2.56 kB

add mlm model and adjust naming about 1 year ago
mha.py

31.5 kB

support-cpu (#2) about 1 year ago
mlp.py

6.21 kB

upload model about 1 year ago
modeling_xlm_roberta.py

51 kB

feat: add support for sentence classifier about 1 year ago
modeling_xlm_roberta_for_glue.py

4.45 kB

Update modeling_xlm_roberta_for_glue.py about 1 year ago
pytorch_model.bin
Detected Pickle imports (3)
- "torch.FloatStorage",
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2"
What is a pickle import?
1.11 GB
LFS

add mlm model and adjust naming about 1 year ago
stochastic_depth.py

3.76 kB

add stochastic_depth about 1 year ago
tokenizer.json

9.1 MB

upload model about 1 year ago
tokenizer_config.json

74 Bytes

add tokenizer class about 1 year ago
xlm_padding.py

9.82 kB

add mlm model and adjust naming about 1 year ago