Instructions to use ISEGURA/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ISEGURA/outputs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ISEGURA/outputs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ISEGURA/outputs") model = AutoModelForSequenceClassification.from_pretrained("ISEGURA/outputs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 954d425a19c2958be04fd05c56d2024c12858f6f93f8958229178b88a7aa352f
- Size of remote file:
- 499 MB
- SHA256:
- 2f6a0d51d63c279a6624801f780f87343784b04e491e77819c2eb2e5484f3eea
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