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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4134a6be15c0fbb9e050405df08dc7f7486b3ef08efd345d025a856b7926af3e
- Size of remote file:
- 558 MB
- SHA256:
- 61674a1e13b1576b5b32b2369cab442bd76a3b6f8271c832d4b5dfcd8615412a
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