Instructions to use ItsShakti/TestDistilMini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ItsShakti/TestDistilMini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ItsShakti/TestDistilMini")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ItsShakti/TestDistilMini") model = AutoModelForSequenceClassification.from_pretrained("ItsShakti/TestDistilMini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d3dab364cea1eceae82adf4da6ad51e8db0f2dec931fb4e6512ae47a3fe7247
- Size of remote file:
- 268 MB
- SHA256:
- 0d309f5ddeabfba6f02f36c3c42d2912c73f0e04d31409fb368526e5f5f807b2
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