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LocalOptimum
/
chinese-crypto-importance
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1
Text Classification
Transformers
Safetensors
Chinese
bert
feature-extraction
finance
cryptocurrency
chinese
news-scoring
text-regression
Eval Results (legacy)
text-embeddings-inference
License:
apache-2.0
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chinese-crypto-importance
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README.md
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config.json
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model.pt
pickle
Detected Pickle imports (38)
"train.NewsImportanceModel"
,
"peft.tuners.lora.layer.Linear"
,
"torch._utils._rebuild_parameter"
,
"torch.nn.modules.activation.ReLU"
,
"torch.nn.modules.container.Sequential"
,
"torch.nn.modules.sparse.Embedding"
,
"torch.nn.modules.container.ParameterDict"
,
"transformers.models.bert.modeling_bert.BertEncoder"
,
"torch.nn.modules.dropout.Dropout"
,
"collections.OrderedDict"
,
"torch.nn.modules.container.ModuleDict"
,
"transformers.models.bert.modeling_bert.BertModel"
,
"torch.FloatStorage"
,
"transformers.models.bert.modeling_bert.BertIntermediate"
,
"torch.nn.modules.linear.Linear"
,
"transformers.models.bert.modeling_bert.BertEmbeddings"
,
"transformers.models.bert.modeling_bert.BertLayer"
,
"torch._C._nn.gelu"
,
"transformers.models.bert.modeling_bert.BertPooler"
,
"transformers.models.bert.modeling_bert.BertAttention"
,
"torch.nn.modules.activation.Tanh"
,
"torch.LongStorage"
,
"torch._utils._rebuild_tensor_v2"
,
"__builtin__.set"
,
"peft.utils.peft_types.PeftType"
,
"peft.tuners.lora.model.LoraModel"
,
"torch._utils._rebuild_parameter_with_state"
,
"transformers.models.bert.modeling_bert.BertSelfAttention"
,
"peft.tuners.lora.config.LoraRuntimeConfig"
,
"transformers.models.bert.modeling_bert.BertOutput"
,
"peft.peft_model.PeftModel"
,
"torch.nn.modules.container.ModuleList"
,
"transformers.models.bert.configuration_bert.BertConfig"
,
"torch.nn.modules.normalization.LayerNorm"
,
"transformers.models.bert.modeling_bert.BertSelfOutput"
,
"transformers.activations.GELUActivation"
,
"peft.tuners.lora.config.LoraConfig"
,
"torch.nn.modules.activation.Sigmoid"
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model.py
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model.safetensors
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news_importance_config.json
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tokenizer.json
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tokenizer_config.json
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