Instructions to use g4ry/classification_experiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use g4ry/classification_experiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="g4ry/classification_experiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("g4ry/classification_experiment") model = AutoModelForSequenceClassification.from_pretrained("g4ry/classification_experiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13dc08cf8ffe2d7309926ad3d834187b31f6c5152276ee9a44d78af83934b54d
- Size of remote file:
- 436 MB
- SHA256:
- 8e09370f71353e97ca2976db726d963cdcae73f713f2f032f652a1ccd6a89ee4
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