Instructions to use tclopess/bart_samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tclopess/bart_samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tclopess/bart_samsum") model = AutoModelForSeq2SeqLM.from_pretrained("tclopess/bart_samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fad0211326653b5cdfce5cc544e3da2f44094d75cdc223f7aed39a31fe16a3f0
- Size of remote file:
- 4.03 kB
- SHA256:
- fa3e6f2ef56c3f8b19f26d5b23f1493a6fa90184f2bc12e27c5280d6e2197c71
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