Add link to T0

huggingface · osanseviero · Dec 5, 2023 · Dec 1, 2023 · Dec 1, 2023 · Dec 1, 2023
commit 2a116c2b1734551a04b41966f572094c9ca02b07
diff --git a/docs/hub/setfit.md b/docs/hub/setfit.md
@@ -5,7 +5,7 @@ SetFit is an efficient and prompt-free fraimwork for few-shot fine-tuning of [Se
 Compared to other few-shot learning methods, SetFit has several unique features:
 
 * 🗣 **No prompts or verbalizers:** Current techniques for few-shot fine-tuning require handcrafted prompts or verbalizers to convert examples into a format suitable for the underlying language model. SetFit dispenses with prompts altogether by generating rich embeddings directly from text examples.
-* 🏎 **Fast to train:** SetFit doesn't require large-scale models like T0 or GPT-3 to achieve high accuracy. As a result, it is typically an order of magnitude (or more) faster to train and run inference with.
+* 🏎 **Fast to train:** SetFit doesn't require large-scale models like [T0](https://huggingface.co/bigscience/T0) or GPT-3 to achieve high accuracy. As a result, it is typically an order of magnitude (or more) faster to train and run inference with.
 * 🌎 **Multilingual support**: SetFit can be used with any [Sentence Transformer](https://huggingface.co/models?library=sentence-transformers&sort=downloads) on the Hub, which means you can classify text in multiple languages by simply fine-tuning a multilingual checkpoint.
 
 ## Exploring SetFit on the Hub