Instructions to use akariasai/subject_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akariasai/subject_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akariasai/subject_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akariasai/subject_classifier") model = AutoModelForSequenceClassification.from_pretrained("akariasai/subject_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcc31cacfd90ed820e1301f944c9975dee682fb424d3b3bfda23c0057a7957a7
- Size of remote file:
- 5.18 kB
- SHA256:
- b4d4228dfb831ae3ae92d1b3260baca7df1d0f67c84999f9743e281f1722b64b
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