Instructions to use hiba2/results_pegasus2-_wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiba2/results_pegasus2-_wiki with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hiba2/results_pegasus2-_wiki") model = AutoModelForSeq2SeqLM.from_pretrained("hiba2/results_pegasus2-_wiki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02ba38ba0e31d3e5a0d83c92f180310ec37c120210ef1bc531e9a796fac9cc76
- Size of remote file:
- 2.68 GB
- SHA256:
- 4b78913ea21bc1feab670396ff0b39735281f4624142c7e7d89d41668197d090
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