Instructions to use mohammadRjb/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohammadRjb/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mohammadRjb/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mohammadRjb/test") model = AutoModelForSequenceClassification.from_pretrained("mohammadRjb/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d853e4ddf040cf5524d6b39bee62c393942c6124685f3bac3cdb61bc42c68f6
- Size of remote file:
- 433 MB
- SHA256:
- 23ef3022b0fb0ea0e5f2dec3aee460598697f67fe5e98a8034aea9b6479f50e3
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