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:
- 3a6c43572860afb3f49a60a4be91c198f8bb6c83274822f0b33ac87ebbbbf84b
- Size of remote file:
- 557 MB
- SHA256:
- 7f563ad780264d53b37866053ac8261df6e2db798eda0bcefbbb92910441ba5a
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