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jinaai
/
xlm-roberta-flash-implementation
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Jina AI
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Transformers
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xlm-roberta
License:
cc-by-nc-4.0
🇪🇺 Region: EU
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c6a5a4d
xlm-roberta-flash-implementation
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10 contributors
History:
19 commits
jupyterjazz
refactor: remove pooling layer stuff
c6a5a4d
about 1 year ago
.gitattributes
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1.52 kB
initial commit
about 1 year ago
README.md
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147 Bytes
add mlm model and adjust naming
about 1 year ago
block.py
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17.7 kB
add stochastic_depth
about 1 year ago
config.json
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980 Bytes
Support for SequenceClassification (#7)
about 1 year ago
configuration_xlm_roberta.py
2.44 kB
refactor: lora
about 1 year ago
convert_roberta_weights_to_flash.py
Safe
6.94 kB
Support for SequenceClassification (#7)
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
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6.21 kB
upload model
about 1 year ago
modeling_lora.py
11.7 kB
refactor: remove pooling layer stuff
about 1 year ago
modeling_xlm_roberta.py
52.2 kB
refactor: lora
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
pickle
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
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3.76 kB
add stochastic_depth
about 1 year ago
tokenizer.json
9.1 MB
upload model
about 1 year ago
tokenizer_config.json
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74 Bytes
add tokenizer class
about 1 year ago
xlm_padding.py
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9.82 kB
add mlm model and adjust naming
about 1 year ago
