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xlm-roberta-flash-implementation

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xlm-roberta-flash-implementation

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12 contributors

History: 16 commits

moontidef

feat: add support for sentence classifier

08469c4 over 2 years ago

.gitattributes

1.52 kB
initial commit over 2 years ago
README.md

147 Bytes
add mlm model and adjust naming over 2 years ago
block.py

17.7 kB
add stochastic_depth over 2 years ago
config.json

980 Bytes
feat: add support for sentence classifier over 2 years ago
configuration_xlm_roberta.py

2.06 kB
Support torch_dtype and CLS pooling (#6) over 2 years ago
convert_roberta_weights_to_flash.py

6.94 kB
feat: add support for sentence classifier over 2 years ago
embedding.py

2.56 kB
add mlm model and adjust naming over 2 years ago
mha.py

31.5 kB
support-cpu (#2) over 2 years ago
mlp.py

6.21 kB
upload model over 2 years ago
modeling_xlm_roberta.py

51 kB
feat: add support for sentence classifier over 2 years ago
modeling_xlm_roberta_for_glue.py

4.45 kB
Update modeling_xlm_roberta_for_glue.py over 2 years 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
xet

add mlm model and adjust naming over 2 years ago
stochastic_depth.py

3.76 kB
add stochastic_depth over 2 years ago
tokenizer.json

9.1 MB
upload model over 2 years ago
tokenizer_config.json

74 Bytes
add tokenizer class over 2 years ago
xlm_padding.py

9.82 kB
add mlm model and adjust naming over 2 years ago