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:
- 1eeb9c27c518cd7a66f8fbc9a3069e07f0b1824cd2fc5d572602e7ab3c05aced
- Size of remote file:
- 3.31 kB
- SHA256:
- 9a17ee36e962212da2353b41ccfffe573e66f6d43360cbef1edd4cdb188485b9
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