Instructions to use Sandhya2002/dummy1-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandhya2002/dummy1-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sandhya2002/dummy1-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sandhya2002/dummy1-model") model = AutoModelForSequenceClassification.from_pretrained("Sandhya2002/dummy1-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- addde0874ba59e447f4182795ca08a9c95e15c583117447f0e3ca8be1d5b96ef
- Size of remote file:
- 438 MB
- SHA256:
- f343aa2ff32f7903b9ddb803aa6a16b7300badcd043fc6f998b2d2604ac9b3cb
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