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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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refs/pr/17
xlm-roberta-flash-implementation
9 contributors
History:
27 commits
bwang0911
feat: move to activation file
55213ef
6 months ago
.gitattributes
1.52 kB
initial commit
8 months ago
README.md
147 Bytes
add mlm model and adjust naming
8 months ago
activation.py
541 Bytes
feat: move to activation file
6 months ago
block.py
17.7 kB
add stochastic_depth
7 months ago
config.json
983 Bytes
feat: replace gelu with silu
6 months ago
configuration_xlm_roberta.py
2.73 kB
truncate-embedding-dimension (#10)
6 months ago
convert_roberta_weights_to_flash.py
6.94 kB
Support for SequenceClassification (#7)
7 months ago
embedding.py
2.56 kB
add mlm model and adjust naming
8 months ago
mha.py
31.5 kB
support-cpu (#2)
7 months ago
mlp.py
6.24 kB
feat: move to activation file
6 months ago
modeling_lora.py
13.8 kB
lora bugfix (#16)
6 months ago
modeling_xlm_roberta.py
52.3 kB
feat: move to activation file
6 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
8 months ago
stochastic_depth.py
3.76 kB
add stochastic_depth
7 months ago
tokenizer.json
9.1 MB
upload model
8 months ago
tokenizer_config.json
75 Bytes
Update tokenizer_config.json (#14)
6 months ago
xlm_padding.py
9.82 kB
add mlm model and adjust naming
8 months ago
