Instructions to use Mariaaaaa/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mariaaaaa/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mariaaaaa/checkpoints")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mariaaaaa/checkpoints") model = AutoModelForSequenceClassification.from_pretrained("Mariaaaaa/checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14e2941873fe39e54c26326a0a64e3dbc75f2e5cf0522d2f6a7f908a3a9730c3
- Size of remote file:
- 4.66 kB
- SHA256:
- 3236f86e0b159c9991b34d915361fd9b07b129777aa98cc5e19134aa7282032c
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