Instructions to use peft-internal-testing/tiny-random-BartForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peft-internal-testing/tiny-random-BartForConditionalGeneration with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peft-internal-testing/tiny-random-BartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("peft-internal-testing/tiny-random-BartForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from peft-internal-testing/tiny-random-BartForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 122 kB
-
https://huggingface.co/peft-internal-testing/tiny-random-BartForConditionalGeneration/resolve/main/model.safetensors
- Command line
-
hf download hf://peft-internal-testing/tiny-random-BartForConditionalGeneration/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/peft-internal-testing/tiny-random-BartForConditionalGeneration/resolve/main/model.safetensors
122 kB
- Xet hash:
- 734addf0fa51659852e49093249bc5acf4e34119c9f2da0b63f902f3f7d8a46a
- Size of remote file:
- 122 kB
- SHA256:
- 440e52dd02928857e0e915b67d70324b4dbb5cc33bc7b4dc44a8520636f3a7cc
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