Instructions to use tathagatdev/BARTModel_for_Ecommerce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tathagatdev/BARTModel_for_Ecommerce with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tathagatdev/BARTModel_for_Ecommerce") model = AutoModelForSeq2SeqLM.from_pretrained("tathagatdev/BARTModel_for_Ecommerce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0da9a7c2f73242608b2332f4d2982f3cd0ec7678478dfdb7fe4b896cceae990
- Size of remote file:
- 4.73 kB
- SHA256:
- c81f6fcbf9f3b74015ba76bf42119f30779f73874098aef652fac7fb9215eebc
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