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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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xlm-roberta-flash-implementation
8 contributors
History:
58 commits
gmastrapas
Add `add_pooling_layer` arg to XLMRobertaLora (
#50
)
f221b0a
verified
9 days ago
.gitattributes
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1.52 kB
initial commit
7 months ago
README.md
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1.47 kB
Update README.md
about 1 month ago
block.py
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17.8 kB
refine-codebase (#33)
3 months ago
configuration_xlm_roberta.py
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6.54 kB
fix: set fp32 when using cpu bc bf16 is slow (#44)
about 2 months ago
convert_roberta_weights_to_flash.py
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6.94 kB
Support for SequenceClassification (#7)
7 months ago
embedding.py
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3.88 kB
refine-codebase (#33)
3 months ago
mha.py
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34.4 kB
cpu-inference (#35)
3 months ago
mlp.py
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7.62 kB
refine-codebase (#33)
3 months ago
modeling_lora.py
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15.2 kB
Add `add_pooling_layer` arg to XLMRobertaLora (#50)
9 days ago
modeling_xlm_roberta.py
Safe
50 kB
refactor-task-type-to-task (#43)
2 months ago
rotary.py
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24.5 kB
fix: update frequencies when updating the rope base value (#40)
3 months ago
stochastic_depth.py
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3.76 kB
refine-codebase (#33)
3 months ago
xlm_padding.py
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10 kB
refine-codebase (#33)
3 months ago
