Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use sanskar/DepressionAnalysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanskar/DepressionAnalysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sanskar/DepressionAnalysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sanskar/DepressionAnalysis") model = AutoModelForSequenceClassification.from_pretrained("sanskar/DepressionAnalysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bf9bc88ace975830a5a19f59894f1718a313ada23d462fb7efc07978ae0a3bf
- Size of remote file:
- 268 MB
- SHA256:
- 25920385e1a9d03b523b80c6c67370999f7c16f48a7c068768146d22954b700a
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