Instructions to use Cyleux/checkpoint-42500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cyleux/checkpoint-42500 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cyleux/checkpoint-42500")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cyleux/checkpoint-42500") model = AutoModelForSequenceClassification.from_pretrained("Cyleux/checkpoint-42500") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3e04719abb20e984739949e74fb233758017245bbb0e1519d1666b3e71e9d1b
- Size of remote file:
- 3.52 kB
- SHA256:
- 3d36b271d5466ab2053071cfedc58163a84f84eaddf7fb7574ba70d2211747d7
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