Instructions to use wbcmthh42/bart_tech_keywords with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wbcmthh42/bart_tech_keywords with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wbcmthh42/bart_tech_keywords") model = AutoModelForSeq2SeqLM.from_pretrained("wbcmthh42/bart_tech_keywords", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wbcmthh42/bart_tech_keywords: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/wbcmthh42/bart_tech_keywords/resolve/main/training_args.bin
- Command line
-
hf download hf://wbcmthh42/bart_tech_keywords/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wbcmthh42/bart_tech_keywords/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 61cff1d204bd0dc27cfdbdc1b93772e9e3487bb0fd5a608e7a36b3310a7ef94b
- Size of remote file:
- 5.18 kB
- SHA256:
- a4dd2f08ed667f3d2b0af802f7992eb313757a10ad6faffb1ac6ba6c4ff0c2ed
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