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:
- 823f94722f5088394a56b8475f7a9dd90662b8bbb124aa4892f9f0475298cb21
- Size of remote file:
- 4.03 kB
- SHA256:
- 72d31e51b07045def6070c8c3ab907be182e5d11ebed981143cc4377346803d1
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