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:
- e3005f772c4bfc0c7e5d129ce5fe910a22accd4687ad927eb2f69f8ca9893d48
- Size of remote file:
- 3.96 kB
- SHA256:
- bc91d43aa3fd1dd035842642ed2aecac5dc09956ea7462e15d2ccb03c6bdfe08
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