Instructions to use andersonbcdefg/my-silly-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andersonbcdefg/my-silly-t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("andersonbcdefg/my-silly-t5") model = AutoModelForSeq2SeqLM.from_pretrained("andersonbcdefg/my-silly-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Training Details:
- 200,000 steps on the Pile
- Denoising (span corruption) objective
- Batch size 256, 512 sequence length
- 25B tokens total
- Modified GPT NeoX Tokenizer
- Downloads last month
- 2
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support