Instructions to use SingularityUS/test_model_upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SingularityUS/test_model_upload with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SingularityUS/test_model_upload")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SingularityUS/test_model_upload") model = AutoModelForSequenceClassification.from_pretrained("SingularityUS/test_model_upload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54d83e4958203f96e089407a83106b13e01316881380cacf299042370ff7d5f0
- Size of remote file:
- 268 MB
- SHA256:
- d2100f53ef9e5a2648c64a6d5a7fe50f01812c9eb8af37a6ee607d92d51122d1
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