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:
- 0d4bd90e72e323ab999033dbd28af38e97cae20cb64958e6fa795a3c5529b5c9
- Size of remote file:
- 438 MB
- SHA256:
- bddf10040ce3f5ee48507ea4ff3180de5bf9691b353a385e49662e06664afce3
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