Instructions to use wbcmthh42/bart_tech_keywords_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wbcmthh42/bart_tech_keywords_model2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wbcmthh42/bart_tech_keywords_model2") model = AutoModelForSeq2SeqLM.from_pretrained("wbcmthh42/bart_tech_keywords_model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wbcmthh42/bart_tech_keywords_model2: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/wbcmthh42/bart_tech_keywords_model2/resolve/main/training_args.bin
- Command line
-
hf download hf://wbcmthh42/bart_tech_keywords_model2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wbcmthh42/bart_tech_keywords_model2/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- c13f72cc4e818eb9648ce8073781c811cae64be212fb99a6671b576c3a71a3ba
- Size of remote file:
- 5.37 kB
- SHA256:
- 5921b290c9d5342c1fb55723d36efa97344e8f379fc76b2397989aadada9719a
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