Instructions to use Zamoranesis/mental_bert_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zamoranesis/mental_bert_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zamoranesis/mental_bert_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zamoranesis/mental_bert_classifier") model = AutoModelForSequenceClassification.from_pretrained("Zamoranesis/mental_bert_classifier") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b471ae28285495d3dd895a2e5d8b92ba689744ade330080a68af8ca5b054a20f
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size 437967876
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