Instructions to use helenpy/Modelos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helenpy/Modelos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="helenpy/Modelos")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("helenpy/Modelos") model = AutoModelForSequenceClassification.from_pretrained("helenpy/Modelos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a5f881987e51aa0af18cd2b786c8cc1a03f17c93443e5ca242dd27413441859
- Size of remote file:
- 5.37 kB
- SHA256:
- 74c681ad4b42e3edbe16694b30f9e21add94038ed25da00ecf272b7644e278cf
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