Instructions to use Suphawan/website_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suphawan/website_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Suphawan/website_classification")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Suphawan/website_classification") model = AutoModel.from_pretrained("Suphawan/website_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68a5ecd4176d4a04ef43b2d41ed64e9d1e7f859247d351f456558b7f1382e508
- Size of remote file:
- 90.9 MB
- SHA256:
- 1377e9af0ca0b016a9f2aa584d6fc71ab3ea6804fae21ef9fb1416e2944057ac
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