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:
- db4f7c7bb672dd2d1320964785d9aca9648a61454ce3d6a9169e5c2d65374dcc
- Size of remote file:
- 3.58 kB
- SHA256:
- 19d3631d78b9ea01725e3cc839e3d0f19850a38074d0314567ef53b2b01298af
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