Instructions to use Alirezamp/my_ALBert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alirezamp/my_ALBert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alirezamp/my_ALBert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alirezamp/my_ALBert_model") model = AutoModelForSequenceClassification.from_pretrained("Alirezamp/my_ALBert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73681ea1f019feb7e681c20af2cd461bba19a6856b44c6dfd787dc8450c88a50
- Size of remote file:
- 5.11 kB
- SHA256:
- 9662fb6f056b4816702d281e83f7d437dda5f802d4c394b278fc36b86d7dd1fc
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