Instructions to use Maits27/SuicideDetectionWithEmotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maits27/SuicideDetectionWithEmotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Maits27/SuicideDetectionWithEmotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Maits27/SuicideDetectionWithEmotion") model = AutoModelForSequenceClassification.from_pretrained("Maits27/SuicideDetectionWithEmotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e5b2c8df7f28fc16865e21c71a5e85b783a885872e737bc71be849e51ee7ab4
|
| 3 |
+
size 1112205008
|