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:
- af59bbc6046ebccf91a7ebc04b21c200f4312b280185c0c945eae4fa8315e078
- Size of remote file:
- 3.39 kB
- SHA256:
- fffbf3996c4040b7f9fec10950b37564a6c0681b9814f4080241c00179cb78d3
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