Instructions to use Zamoranesis/mental_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zamoranesis/mental_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Zamoranesis/mental_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Zamoranesis/mental_bert") model = AutoModelForMaskedLM.from_pretrained("Zamoranesis/mental_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97aa95fd05e2d1a4a3135f0c0fd01a0311408d64e860acd08d747266dfded78b
- Size of remote file:
- 438 MB
- SHA256:
- ecaef6b4346414a0c063810d90018bce9c2230fe18ac41c00ca0ca3258c186ad
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