Instructions to use hf-tiny-model-private/tiny-random-BartForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-BartForConditionalGeneration with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-BartForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-BartForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 122 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-BartForConditionalGeneration/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-BartForConditionalGeneration@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-BartForConditionalGeneration/resolve/refs%2Fpr%2F1/model.safetensors
122 kB
- Xet hash:
- 67a51b038b86d2305450d1e02c2121b14a99c662333d770fe1c1f951d5e4dd34
- Size of remote file:
- 122 kB
- SHA256:
- 0606404b03bcf7a041602cf426bb762b7784157748e55a235c7961c3845cce3c
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