Instructions to use bubblecookie/samsum_trained_t5_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bubblecookie/samsum_trained_t5_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bubblecookie/samsum_trained_t5_model") model = AutoModelForSeq2SeqLM.from_pretrained("bubblecookie/samsum_trained_t5_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ef3ba9d583897881b1f3ba70ac44143096f8a23586286ba1835691f8f8286da
- Size of remote file:
- 3.38 kB
- SHA256:
- bbe75c099fb3ed81a54d69a82e989617edef9df748d5c6b7908b2581ef565275
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