Instructions to use TeamGreyEdifai/Grey_TestModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeamGreyEdifai/Grey_TestModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TeamGreyEdifai/Grey_TestModel", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TeamGreyEdifai/Grey_TestModel") model = AutoModelForSequenceClassification.from_pretrained("TeamGreyEdifai/Grey_TestModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e4c18e60d1f9adf20d1350231c390ae1a81d2f737f1008150d9dfd5576db07f
- Size of remote file:
- 438 MB
- SHA256:
- f587e0ffd4baa46e15548ff77c8618f3d105227fe2ba98daf5c4c349cb719126
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