Instructions to use TuringGame/flan-t5-small-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TuringGame/flan-t5-small-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TuringGame/flan-t5-small-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TuringGame/flan-t5-small-classifier") model = AutoModelForSequenceClassification.from_pretrained("TuringGame/flan-t5-small-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53ff4aeddb54d76ca9f09e2c9c20f434f2a8cee2324478b500070ca8560ce6c8
- Size of remote file:
- 243 MB
- SHA256:
- d00f69989ed7b17e1d31fef15123c3acf57836e06e4acbfe2cb09f7a20eba12e
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