Instructions to use bthomas/article2KW_test2.0c_barthez-orangesum-title_finetuned_for_mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bthomas/article2KW_test2.0c_barthez-orangesum-title_finetuned_for_mlm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bthomas/article2KW_test2.0c_barthez-orangesum-title_finetuned_for_mlm") model = AutoModelForSeq2SeqLM.from_pretrained("bthomas/article2KW_test2.0c_barthez-orangesum-title_finetuned_for_mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b5d2b385dccaf8bbde0362a6424d0ca19054060229c554d7388b241e9748b86
- Size of remote file:
- 557 MB
- SHA256:
- b034933188f667675d99912937dcb2400f3ffdc6a670d322f25951e2f4916a4c
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