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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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54b019f
xlm-roberta-flash-implementation
184 kB
10 contributors
History:
62 commits
jupyterjazz
phuonglk
[Fix bug] TypeError: argument of type 'XLMRobertaFlashConfig' is not iterable (
#55
)
54b019f
verified
about 1 year ago
.gitattributes
1.52 kB
initial commit
over 1 year ago
README.md
1.47 kB
Update README.md
about 1 year ago
block.py
17.8 kB
refine-codebase (#33)
over 1 year ago
configuration_xlm_roberta.py
6.54 kB
fix: set fp32 when using cpu bc bf16 is slow (#44)
about 1 year ago
convert_roberta_weights_to_flash.py
6.94 kB
Support for SequenceClassification (#7)
over 1 year ago
embedding.py
3.88 kB
refine-codebase (#33)
over 1 year ago
mha.py
34.4 kB
cpu-inference (#35)
over 1 year ago
mlp.py
7.62 kB
refine-codebase (#33)
over 1 year ago
modeling_lora.py
15.4 kB
[Fix bug] TypeError: argument of type 'XLMRobertaFlashConfig' is not iterable (#55)
about 1 year ago
modeling_xlm_roberta.py
49.9 kB
fix-normalization-after-truncate (#53)
about 1 year ago
rotary.py
24.5 kB
fix: update frequencies when updating the rope base value (#40)
over 1 year ago
stochastic_depth.py
3.76 kB
refine-codebase (#33)
over 1 year ago
xlm_padding.py
10 kB
refine-codebase (#33)
over 1 year ago
