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jinaai
/
xlm-roberta-flash-implementation
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Jina AI
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xlm-roberta
Inference Endpoints
License:
cc-by-nc-4.0
🇪🇺 Region: EU
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79c3c93
xlm-roberta-flash-implementation
10 contributors
History:
11 commits
jupyterjazz
feat: initialize models with or without adapters
79c3c93
9 months ago
.gitattributes
1.52 kB
initial commit
10 months ago
README.md
147 Bytes
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10 months ago
block.py
17.7 kB
add stochastic_depth
10 months ago
config.json
831 Bytes
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10 months ago
configuration_xlm_roberta.py
1.81 kB
feat: initialize models with or without adapters
9 months ago
convert_roberta_weights_to_flash.py
6.25 kB
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10 months ago
embedding.py
2.56 kB
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10 months ago
mha.py
31.5 kB
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10 months ago
mlp.py
6.21 kB
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10 months ago
modeling_lora.py
12.1 kB
feat: initialize models with or without adapters
9 months ago
modeling_xlm_roberta.py
39.1 kB
add stochastic_depth
10 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
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10 months ago
stochastic_depth.py
3.76 kB
add stochastic_depth
10 months ago
tokenizer.json
9.1 MB
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10 months ago
tokenizer_config.json
74 Bytes
add tokenizer class
10 months ago
xlm_padding.py
9.82 kB
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10 months ago
