Instructions to use Gowreesh234/flan-t5-base-finetuned_dialougesum_version_3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gowreesh234/flan-t5-base-finetuned_dialougesum_version_3.0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Gowreesh234/flan-t5-base-finetuned_dialougesum_version_3.0") model = AutoModelForSeq2SeqLM.from_pretrained("Gowreesh234/flan-t5-base-finetuned_dialougesum_version_3.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e945751c31389757f45d8a54b4e4e30a5f8f4d4f51e3ee7e4e498b9a75d65eeb
- Size of remote file:
- 5.11 kB
- SHA256:
- 8289078bf04cb773b07dfff175e72552885f8a40f05363f63abf78c03815ab00
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