Hugging Face's logo

ggrazzioli
/
cls_sentimento_sebrae

Text Classification
Transformers
PyTorch
Safetensors
Portuguese
bert
Inference Endpoints
Model card Files Community
ggrazzioli commited on
Commit
7819867
·
1 Parent(s): 0175e6a

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -7
README.md CHANGED
@@ -1,23 +1,23 @@
1
  ---
2
  tags:
3
- - autotrain
4
  - text-classification
5
  language:
6
  - pt
7
  widget:
8
- - text: "I love AutoTrain"
9
  datasets:
10
- - ggrazzioli/autotrain-data-cls_sentimento
11
  co2_eq_emissions:
12
  emissions: 0.6308403394105772
13
  ---
14
 
15
- # Model Trained Using AutoTrain
16
 
17
- - Problem type: Multi-class Classification
18
  - Model ID: 96390146647
19
  - CO2 Emissions (in grams): 0.6308
20
-
 
21
  ## Validation Metrics
22
 
23
  - Loss: 0.143
@@ -35,7 +35,7 @@ co2_eq_emissions:
35
 
36
  ## Usage
37
 
38
- Or Python API:
39
 
40
  ```
41
  from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
1
  ---
2
  tags:
 
3
  - text-classification
4
  language:
5
  - pt
6
  widget:
7
+ - text: "Gostei muito do serviço prestado"
8
  datasets:
9
+ - ggrazzioli/cls_sentimento_sebrae
10
  co2_eq_emissions:
11
  emissions: 0.6308403394105772
12
  ---
13
 
14
+ # Model Trained
15
 
16
+ - Problem type: Classificação de sentimentos em dataset interno do Sebrae RS
17
  - Model ID: 96390146647
18
  - CO2 Emissions (in grams): 0.6308
19
+ - "id2label": {"0": "Negativo", "1": "Neutro", "2": "Positivo"}
20
+ -
21
  ## Validation Metrics
22
 
23
  - Loss: 0.143
 
35
 
36
  ## Usage
37
 
38
+ Python API:
39
 
40
  ```
41
  from transformers import AutoModelForSequenceClassification, AutoTokenizer