Instructions to use hf-tiny-model-private/tiny-random-PegasusXForConditionalGeneration 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-PegasusXForConditionalGeneration 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-PegasusXForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-PegasusXForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from hf-tiny-model-private/tiny-random-PegasusXForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 1.91 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-PegasusXForConditionalGeneration/resolve/cd1fa0ca2d387e6aed9bf15ab2cf848bf62c8673/spiece.model
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-PegasusXForConditionalGeneration@cd1fa0ca2d387e6aed9bf15ab2cf848bf62c8673/spiece.model
-
curl -L -o spiece.model https://huggingface.co/hf-tiny-model-private/tiny-random-PegasusXForConditionalGeneration/resolve/cd1fa0ca2d387e6aed9bf15ab2cf848bf62c8673/spiece.model
1.91 MB
- Xet hash:
- 0457f1036c5bc6c24f5bdb1072a55800cb2864650175bfc2578f59ff5adb1277
- Size of remote file:
- 1.91 MB
- SHA256:
- 0015189ef36359283fec8b93cf6d9ce51bca37eb1101defc68a53b394913b96c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.