Instructions to use TiffanyH/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TiffanyH/testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TiffanyH/testing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TiffanyH/testing") model = AutoModelForSequenceClassification.from_pretrained("TiffanyH/testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- feb9bde7ee85375133202d589a02a8dec5b46a3f46bbbe7abdf7aebdfd465187
- Size of remote file:
- 469 MB
- SHA256:
- 9aad71aa397e1b460159f2ff35b8c74b56f759de644ac83d2b575716338ca322
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