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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 296e13f013304faf9d8b7edcf0ce9bcb7128d55339c35e784857dd7d656dd947
- Size of remote file:
- 627 Bytes
- SHA256:
- 9353d4e69843d95d10bafe68d6aa3e7a54e150898e7678559f948eb5b2077a37
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