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
| { | |
| "\t": 32109, | |
| "\n": 32103, | |
| " ": 32106, | |
| "<": 32101, | |
| "[PAD]": 32100, | |
| "\\": 32107, | |
| "^": 32108, | |
| "`": 32105, | |
| "{": 32102, | |
| "}": 32104 | |
| } | |