Instructions to use mnaylor/psychbert-finetuned-multiclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnaylor/psychbert-finetuned-multiclass with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mnaylor/psychbert-finetuned-multiclass")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mnaylor/psychbert-finetuned-multiclass") model = AutoModelForSequenceClassification.from_pretrained("mnaylor/psychbert-finetuned-multiclass", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95c6c79707fed23dffff99f0f11f0f61b2482f12e2f4e9d426a5b2776e517687
- Size of remote file:
- 433 MB
- SHA256:
- 529127bd038f2e137a5e42b8bca87fd67c0770b6181628bd0fad1fa95f0ff87d
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