Instructions to use DunnBC22/canine-c-Mental_Health_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/canine-c-Mental_Health_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DunnBC22/canine-c-Mental_Health_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/canine-c-Mental_Health_Classification") model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/canine-c-Mental_Health_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc24adaf40cd177d61dd9c6b6dfa03a12805c5453d47427c11d06e74b25e7324
- Size of remote file:
- 529 MB
- SHA256:
- 68f1469d70e7e9f5a62cdb1ce93f0536de43647e3d54892d6e78cd4651ad00c0
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