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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
Inference Endpoints
License:
cc-by-nc-4.0
🇪🇺 Region: EU
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d230f23
xlm-roberta-flash-implementation
10 contributors
History:
22 commits
bwang0911
Update modeling_xlm_roberta.py (
#13
)
d230f23
verified
7 months ago
.gitattributes
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1.52 kB
initial commit
9 months ago
README.md
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147 Bytes
add mlm model and adjust naming
9 months ago
block.py
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17.7 kB
add stochastic_depth
9 months ago
config.json
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980 Bytes
Support for SequenceClassification (#7)
8 months ago
configuration_xlm_roberta.py
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2.73 kB
truncate-embedding-dimension (#10)
8 months ago
convert_roberta_weights_to_flash.py
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6.94 kB
Support for SequenceClassification (#7)
8 months ago
embedding.py
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2.56 kB
add mlm model and adjust naming
9 months ago
mha.py
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31.5 kB
support-cpu (#2)
9 months ago
mlp.py
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6.21 kB
upload model
9 months ago
modeling_lora.py
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13.5 kB
lora-multiple-adapters (#11)
8 months ago
modeling_xlm_roberta.py
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52.2 kB
Update modeling_xlm_roberta.py (#13)
7 months ago
modeling_xlm_roberta_for_glue.py
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4.45 kB
Update modeling_xlm_roberta_for_glue.py
9 months ago
pytorch_model.bin
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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
9 months ago
stochastic_depth.py
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3.76 kB
add stochastic_depth
9 months ago
tokenizer.json
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9.1 MB
upload model
9 months ago
tokenizer_config.json
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74 Bytes
add tokenizer class
9 months ago
xlm_padding.py
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9.82 kB
add mlm model and adjust naming
9 months ago
