Instructions to use Marve271/BartConditionalGeneration-finetuned-insult with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marve271/BartConditionalGeneration-finetuned-insult with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Marve271/BartConditionalGeneration-finetuned-insult") model = AutoModelForSeq2SeqLM.from_pretrained("Marve271/BartConditionalGeneration-finetuned-insult", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Marve271/BartConditionalGeneration-finetuned-insult: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/Marve271/BartConditionalGeneration-finetuned-insult/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Marve271/BartConditionalGeneration-finetuned-insult/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Marve271/BartConditionalGeneration-finetuned-insult/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 6a5015591f7d256eb896c37b5402b9c4f4fc791dee8d81bb7ee85343dc9fad6d
- Size of remote file:
- 558 MB
- SHA256:
- e64defb830e5f804b20f950a4f76ccf7b157dfe199627bb036a82c539c537bda
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