Instructions to use KevSun/mentalhealth_LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KevSun/mentalhealth_LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KevSun/mentalhealth_LM")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KevSun/mentalhealth_LM") model = AutoModelForSequenceClassification.from_pretrained("KevSun/mentalhealth_LM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f46ba108ff2bf68df8a0ad22a27a0a5a9879d3bbca747a9d3bd0effc4bfb86cb
- Size of remote file:
- 439 MB
- SHA256:
- 2db808880bfb8ddf906aef23a3d0866300ad0f3e5c8855c1efef69725483ea32
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