Text Classification
Transformers
Safetensors
English
bert
sentiment-analysis
depression
BERT
mental-health
Eval Results (legacy)
text-embeddings-inference
Instructions to use poudel/Depression_and_Non-Depression_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poudel/Depression_and_Non-Depression_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="poudel/Depression_and_Non-Depression_Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("poudel/Depression_and_Non-Depression_Classifier") model = AutoModelForSequenceClassification.from_pretrained("poudel/Depression_and_Non-Depression_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -36,6 +36,29 @@ metrics:
|
|
| 36 |
- Recall
|
| 37 |
- Percision
|
| 38 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 39 |
---
|
| 40 |
|
| 41 |
# Model Card for Sentiment Classifier for Depression
|
|
|
|
| 36 |
- Recall
|
| 37 |
- Percision
|
| 38 |
|
| 39 |
+
widget:
|
| 40 |
+
- text: "RT EichinChangLim In Talking About Adolescence Book you'll discover key strategies to tackle self-harm panic attacks bullies child"
|
| 41 |
+
example_title: "Depression"
|
| 42 |
+
- text: "RT levelsio One counterintuitive thing about seeing all these entrepreneurs going to gym etcnnI never went gym when I started doing star"
|
| 43 |
+
example_title: "Depression"
|
| 44 |
+
- text: "RT dlhampton The Neuroscience of How Affirmations Help Your Mental Health nnStudies show that positive affirmati"
|
| 45 |
+
example_title: "Depression"
|
| 46 |
+
- text: "autism adhd anxiety depression and bod I won the mental illnesses lottery"
|
| 47 |
+
example_title: "Depression"
|
| 48 |
+
- text: "JustJul GeoffField I know a colleague of mine who was having intense anxiety depression and PTSD until he started microdosing shrooms drtessporess was the mycologist and doctor who guided him text her here on twitter X"
|
| 49 |
+
example_title: "Depression"
|
| 50 |
+
- text: "SharronS Hello there Thanks for reaching out I can understand your frustration I would feel the same Id be happy to take a closer look Please feel free to send me a DM with your full name phone number and email address Lena"
|
| 51 |
+
example_title: "Non-depression"
|
| 52 |
+
- text: "RT ANI WATCH In Sandeshkhali West Bengal LoP and BJP MLA Suvendu Adhikari says I visited all villages of our BJP workers are"
|
| 53 |
+
example_title: "Non-depression"
|
| 54 |
+
- text: "RT AerthH Retinol Happy with Retinol Anti Aging"
|
| 55 |
+
example_title: "Non-depression"
|
| 56 |
+
- text: "Hahahahahahha happy ruharu aaaaa"
|
| 57 |
+
example_title: "Non-depression"
|
| 58 |
+
- text: "RT JacksonJason GM Happy Tuesday"
|
| 59 |
+
example_title: "Non-depression"
|
| 60 |
+
|
| 61 |
+
|
| 62 |
---
|
| 63 |
|
| 64 |
# Model Card for Sentiment Classifier for Depression
|