Instructions to use sonchuate/Aimesoft-test_Text-Classification-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sonchuate/Aimesoft-test_Text-Classification-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sonchuate/Aimesoft-test_Text-Classification-5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sonchuate/Aimesoft-test_Text-Classification-5") model = AutoModelForSequenceClassification.from_pretrained("sonchuate/Aimesoft-test_Text-Classification-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4d0f000031732aac8bf8c8749c0f944da6da9a743f8ab2f4cf106a93b2468d8
- Size of remote file:
- 438 MB
- SHA256:
- 1603271b6df88372605ea04624542f3c871df70dce4c4b2b2bd23696ff55e77d
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