Instructions to use zhohanx/mental_bert_mi_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhohanx/mental_bert_mi_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zhohanx/mental_bert_mi_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zhohanx/mental_bert_mi_classification") model = AutoModelForSequenceClassification.from_pretrained("zhohanx/mental_bert_mi_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04a1cd6ed1012ef338ae4c6c1f86520503ad82c54c37fa61f5bea25bd5b6910d
- Size of remote file:
- 810 Bytes
- SHA256:
- d5f6948b56cf4d2ca3d96f4643571061051f1f52c529e6bbc6ff7dac556738b8
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