Instructions to use Devden/Dialect_FastChatT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devden/Dialect_FastChatT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Devden/Dialect_FastChatT5") model = AutoModelForSeq2SeqLM.from_pretrained("Devden/Dialect_FastChatT5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fa97eb111c61402bc927b59331d302499fee99c8bb7839f0ee781d605286f86
- Size of remote file:
- 3.77 kB
- SHA256:
- 27bf45f5101eaf8493158093446ab579992b85531061a7bf1ecf9a03cc58946e
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