Instructions to use Splend1dchan/t5lephone-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/t5lephone-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Splend1dchan/t5lephone-small") model = AutoModelForSeq2SeqLM.from_pretrained("Splend1dchan/t5lephone-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12c8e727fe93022ae2962d361ba94cbbda3b1daff79a2c64889c0e52266690f4
- Size of remote file:
- 1.2 GB
- SHA256:
- 9d1aa822f800897c862b8aa43e2cbb15bfa764080428c7e796c80f539985c50f
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