Instructions to use dhanymarth/beto-sarcasmo-colombia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhanymarth/beto-sarcasmo-colombia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhanymarth/beto-sarcasmo-colombia")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhanymarth/beto-sarcasmo-colombia") model = AutoModelForSequenceClassification.from_pretrained("dhanymarth/beto-sarcasmo-colombia", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 107f95b89f1b344043283143d77394965c0d0fca61a417c10dd299c79be7c85c
- Size of remote file:
- 5.33 kB
- SHA256:
- d3db5921c84455d9986a07fad95785b3fc575187b31dd7c8fcbcf4f21d9f771d
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