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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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b3c540c
xlm-roberta-flash-implementation
8 contributors
History:
34 commits
makram93
fix: check for exact task names
b3c540c
4 months ago
.gitattributes
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1.52 kB
initial commit
7 months ago
README.md
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147 Bytes
add mlm model and adjust naming
7 months ago
block.py
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17.7 kB
add stochastic_depth
7 months ago
config.json
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980 Bytes
Rename config to config.json
4 months ago
configuration_xlm_roberta.py
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2.8 kB
fix: read prompts from config
4 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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2.56 kB
alibi (#19)
6 months ago
mha.py
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31.5 kB
rope-embeddings (#20)
5 months ago
mlp.py
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6.21 kB
upload model
7 months ago
modeling_lora.py
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15 kB
fix: check for exact task names
4 months ago
modeling_xlm_roberta.py
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52.4 kB
feat: set adapter based on prompt
4 months ago
modeling_xlm_roberta_for_glue.py
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4.45 kB
Update modeling_xlm_roberta_for_glue.py
7 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
7 months ago
rotary.py
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22.6 kB
no-flash-attention-during-inference (#22)
4 months ago
stochastic_depth.py
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3.76 kB
add stochastic_depth
7 months ago
tokenizer.json
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9.1 MB
upload model
7 months ago
tokenizer_config.json
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75 Bytes
Update tokenizer_config.json (#14)
6 months ago
xlm_padding.py
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9.82 kB
add mlm model and adjust naming
7 months ago
