Instructions to use bthomas/article2KW_test2.0_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_test2.0_barthez-orangesum-title_finetuned_for_mlm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bthomas/article2KW_test2.0_barthez-orangesum-title_finetuned_for_mlm") model = AutoModelForSeq2SeqLM.from_pretrained("bthomas/article2KW_test2.0_barthez-orangesum-title_finetuned_for_mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c8a6a217759de9f150df71ec4fba865e12da90d44f4841712a64d991e1b3cc3
- Size of remote file:
- 3.44 kB
- SHA256:
- 13bcb1054802238cb8f90ba533ce83aceec6acbaa814deac9d0ba541486a6fc5
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