Instructions to use Krrish4757/flan-t5-small-ecommerce-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Krrish4757/flan-t5-small-ecommerce-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Krrish4757/flan-t5-small-ecommerce-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Krrish4757/flan-t5-small-ecommerce-text-classification") model = AutoModelForSequenceClassification.from_pretrained("Krrish4757/flan-t5-small-ecommerce-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Krrish4757/flan-t5-small-ecommerce-text-classification: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Krrish4757/flan-t5-small-ecommerce-text-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://Krrish4757/flan-t5-small-ecommerce-text-classification/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Krrish4757/flan-t5-small-ecommerce-text-classification/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- a7fa0d1dbb974b687ec5f53ff6e46278107c083d01255fa901e437442282872e
- Size of remote file:
- 5.3 kB
- SHA256:
- 3c2efe3e1d4d38d3a73b1b2af59091e1a9399dbdc23021b29989a824e659f8d5
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