Instructions to use Carlosslocar/exp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Carlosslocar/exp4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Carlosslocar/exp4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Carlosslocar/exp4") model = AutoModelForSequenceClassification.from_pretrained("Carlosslocar/exp4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e84e7a0ff1b16b1d479d66db7b0c33bfbed0ba98b7f651dc4642f792e90bd876
- Size of remote file:
- 17.5 MB
- SHA256:
- 6060511074d2fd48bd3d5248318fdcfeb03d03ec0d9d9c4ecfa3befc7016173c
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