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:
- a489c9e881e31de6bbc9da9030e9bcd989231a791dae68b599bc3fb743e97709
- Size of remote file:
- 4.41 kB
- SHA256:
- cc407414be895e06107e1699702d057409bc0a0229d046620e051a296ec7aa1f
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