terapyon commited on
Commit
763dc1a
·
1 Parent(s): 6e0a646

added topic model and stop words for lfs

Browse files
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ saved_model/stop_words/Japanese_selection.txt filter=lfs diff=lfs merge=lfs -text
37
+ saved_model/topic/trained_model.bin filter=lfs diff=lfs merge=lfs -text
inference.py CHANGED
@@ -13,10 +13,13 @@ import transformers as T # type: ignore
13
  from scipy import stats # type: ignore
14
  from sudachipy import dictionary, tokenizer # type: ignore
15
 
16
- MODELS_PATH = Path("/home/terapyon/dev/awarefy/models/for-amp")
17
- model_base_path = MODELS_PATH / "2class_1019/"
18
- topic_model_trained = MODELS_PATH / "trained_model.bin"
19
- japanese_selection_path = MODELS_PATH / "Japanese_selection.txt"
 
 
 
20
 
21
  # GPUの指定
22
  if torch.cuda.is_available():
@@ -118,7 +121,7 @@ def make_traind_model(bert_model):
118
  k = k + 1
119
  model_path = model_base_path / f"trained_model{k}.pt"
120
  trained_model = copy.deepcopy(bert_model)
121
- trained_model.load_state_dict(torch.load(model_path, map_location=device),strict=False)
122
  trained_models.append(trained_model)
123
  return trained_models
124
 
 
13
  from scipy import stats # type: ignore
14
  from sudachipy import dictionary, tokenizer # type: ignore
15
 
16
+ # from transformers import AutoModel
17
+
18
+ MODELS_PATH = Path(__file__).parent / "saved_model"
19
+ model_base_path = MODELS_PATH / "two_class"
20
+ MODEL_BASE = "terapyon/awarefy-test-trained-"
21
+ topic_model_trained = MODELS_PATH / "topic" / "trained_model.bin"
22
+ japanese_selection_path = MODELS_PATH / "stop_words" / "Japanese_selection.txt"
23
 
24
  # GPUの指定
25
  if torch.cuda.is_available():
 
121
  k = k + 1
122
  model_path = model_base_path / f"trained_model{k}.pt"
123
  trained_model = copy.deepcopy(bert_model)
124
+ trained_model.load_state_dict(torch.load(model_path, map_location=device), strict=False)
125
  trained_models.append(trained_model)
126
  return trained_models
127
 
saved_model/stop_words/Japanese_selection.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b9654e2f6f739a61285f80538e1076d938f54f090974d8f872ad59b246a66da8
3
+ size 2202
saved_model/topic/trained_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:46c0cc05fcb664763839ca099f04aa5275a269cfbea8847f33214bc73affdcce
3
+ size 695117