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panigrah
/
wineberto-ner
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Token Classification
Transformers
PyTorch
bert
wine
ner
Inference Endpoints
License:
unknown
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wineberto-ner
1 contributor
History:
9 commits
panigrah
Update README.md
c13d4ec
7 months ago
.gitattributes
1.52 kB
initial commit
8 months ago
README.md
2.99 kB
Update README.md
7 months ago
config.json
1.42 kB
Added more entities to training set and also randomized wine label. Earlier training set was flawed because wine labels were always located at the beginning of the description of the wine and the model trained itself to tag everything in the begining of the description as the wine label.
8 months ago
pytorch_model.bin
pickle
Detected Pickle imports (3)
"torch.FloatStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"collections.OrderedDict"
What is a pickle import?
436 MB
LFS
Added more entities to training set and also randomized wine label. Earlier training set was flawed because wine labels were always located at the beginning of the description of the wine and the model trained itself to tag everything in the begining of the description as the wine label.
8 months ago
special_tokens_map.json
125 Bytes
Upload 6 files
8 months ago
tokenizer.json
711 kB
Upload 6 files
8 months ago
tokenizer_config.json
314 Bytes
Upload 6 files
8 months ago
training_args.bin
pickle
Detected Pickle imports (8)
"transformers.trainer_utils.IntervalStrategy"
,
"transformers.trainer_utils.HubStrategy"
,
"torch.device"
,
"transformers.training_args.TrainingArguments"
,
"accelerate.state.PartialState"
,
"accelerate.utils.dataclasses.DistributedType"
,
"transformers.training_args.OptimizerNames"
,
"transformers.trainer_utils.SchedulerType"
How to fix it?
3.96 kB
LFS
Added more entities to training set and also randomized wine label. Earlier training set was flawed because wine labels were always located at the beginning of the description of the wine and the model trained itself to tag everything in the begining of the description as the wine label.
8 months ago
vocab.txt
232 kB
Upload 6 files
8 months ago