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")# pip install -U transformers accelerate # 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
Download training_args.bin from TuringGame/flan-t5-small-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/TuringGame/flan-t5-small-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://TuringGame/flan-t5-small-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TuringGame/flan-t5-small-classifier/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 34a7f828983c2877c0eddb093b1d61798aa50bce143653af5bffac8b4c006171
- Size of remote file:
- 5.37 kB
- SHA256:
- 97a91dac3d049b01e0807bb04a575cdd23953ae2c55b1ccc0f2c09d08950c23f
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