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jinaai
/
xlm-roberta-flash-implementation
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Jina AI
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xlm-roberta
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License:
cc-by-nc-4.0
🇪🇺 Region: EU
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71b163e
xlm-roberta-flash-implementation
10 contributors
History:
32 commits
makram93
feat: set adapter based on prompt
71b163e
8 months ago
.gitattributes
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1.52 kB
initial commit
11 months ago
README.md
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147 Bytes
add mlm model and adjust naming
11 months ago
block.py
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17.7 kB
add stochastic_depth
11 months ago
config.json
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980 Bytes
Rename config to config.json
8 months ago
configuration_xlm_roberta.py
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2.73 kB
truncate-embedding-dimension (#10)
10 months ago
convert_roberta_weights_to_flash.py
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6.94 kB
Support for SequenceClassification (#7)
11 months ago
embedding.py
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2.56 kB
alibi (#19)
9 months ago
mha.py
31.5 kB
rope-embeddings (#20)
9 months ago
mlp.py
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6.21 kB
upload model
11 months ago
modeling_lora.py
14.8 kB
feat: set adapter based on prompt
8 months ago
modeling_xlm_roberta.py
52.4 kB
feat: set adapter based on prompt
8 months ago
modeling_xlm_roberta_for_glue.py
4.45 kB
Update modeling_xlm_roberta_for_glue.py
11 months 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
11 months ago
rotary.py
22.6 kB
no-flash-attention-during-inference (#22)
8 months ago
stochastic_depth.py
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3.76 kB
add stochastic_depth
11 months ago
tokenizer.json
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9.1 MB
upload model
11 months ago
tokenizer_config.json
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75 Bytes
Update tokenizer_config.json (#14)
10 months ago
xlm_padding.py
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9.82 kB
add mlm model and adjust naming
11 months ago
