Instructions to use Nhat1904/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nhat1904/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nhat1904/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nhat1904/test") model = AutoModelForSequenceClassification.from_pretrained("Nhat1904/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7fe199258928e77cd1b0fbad3aed6a713391c68cc35bbc1eed17d202d67d001
- Size of remote file:
- 438 MB
- SHA256:
- bc8d59e761d8007c0879a8c8b685ce6ce483ec56535b7afa3f62e7542f2389a4
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