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:
- ed7222457b382e92811781e8ade5adc21727b68b521b35708864f86450be4bed
- Size of remote file:
- 3.44 kB
- SHA256:
- a70e5548a212f4263fba85b8ad316e587d273ee76f7b7a5b6595989b390d4046
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