framapiaf.org est l'un des nombreux serveurs Mastodon indépendants que vous pouvez utiliser pour participer au fédiverse.
Un service Mastodon fourni par l'association d’éducation populaire Framasoft.

Administré par :

Statistiques du serveur :

1,4K
comptes actifs

#setfit

0 message0 participant0 message aujourd’hui
Christof Schöch<p>Nach einer schönen <a href="https://fedihum.org/tags/CLS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CLS</span></a>-Session (mit einem Trierer Vortrag von Julia Röttgermann) bei der <a href="https://fedihum.org/tags/DHd2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DHd2025</span></a> startet jetzt die erste <a href="https://fedihum.org/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a>-Session, zu dem wir von Trierer Seite (<span class="h-card" translate="no"><a href="https://fedihum.org/@tcdh" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>tcdh</span></a></span> / Professur) einen Vortrag von Marina Spielberg zu <a href="https://fedihum.org/tags/SetFit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SetFit</span></a> für die Metaphern-Annotation beitragen! Bin gespannt auf die Voträge und Diskussionen.</p>
Christof Schöch<p>Bin dann auch bald auf dem Weg zur <a href="https://fedihum.org/tags/DHd2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DHd2025</span></a>, die Vorfreude steigt! </p><p>Für das <span class="h-card" translate="no"><a href="https://fedihum.org/@tcdh" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>tcdh</span></a></span> haben wir hier mal notiert, was wir alles machen: <a href="https://tcdh.uni-trier.de/de/event/das-tcdh-bei-der-dhd2025-bielefeld" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tcdh.uni-trier.de/de/event/das</span><span class="invisible">-tcdh-bei-der-dhd2025-bielefeld</span></a> </p><p>Kommt gerne vorbei! Es geht um <a href="https://fedihum.org/tags/Evaluation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Evaluation</span></a> von <a href="https://fedihum.org/tags/Keyness" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Keyness</span></a>-Maßen, <a href="https://fedihum.org/tags/Shakespeare" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Shakespeare</span></a> <a href="https://fedihum.org/tags/Editionen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Editionen</span></a>, <a href="https://fedihum.org/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMs</span></a> und <a href="https://fedihum.org/tags/SetFit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SetFit</span></a> für <a href="https://fedihum.org/tags/Metaphern" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Metaphern</span></a>, <a href="https://fedihum.org/tags/Vokabulare" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Vokabulare</span></a> für <a href="https://fedihum.org/tags/LOD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LOD</span></a> und <a href="https://fedihum.org/tags/Forschungsdaten" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Forschungsdaten</span></a> für die DH-<a href="https://fedihum.org/tags/Wissenschaftsgeschichte" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Wissenschaftsgeschichte</span></a>!</p><p>U.a. mit <span class="h-card" translate="no"><a href="https://fedihum.org/@ClaudiaBamberg" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ClaudiaBamberg</span></a></span>, <span class="h-card" translate="no"><a href="https://fedihum.org/@cnDuKeli" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>cnDuKeli</span></a></span> Julia Dudar, <span class="h-card" translate="no"><a href="https://fedihum.org/@moulin" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>moulin</span></a></span>, Marina Spielberg, <span class="h-card" translate="no"><a href="https://fedihum.org/@MariaHinzmann" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>MariaHinzmann</span></a></span>, Julia Röttgermann.</p>
Christof Schöch<p>Wow, <a href="https://fedihum.org/tags/SetFit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SetFit</span></a> (Sentence Transformers Finetuning) is an awesome approach for few-shot text <a href="https://fedihum.org/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a>! Just transferred it from <a href="https://fedihum.org/tags/sentiment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sentiment</span></a> analysis on <a href="https://fedihum.org/tags/English" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>English</span></a> movie <a href="https://fedihum.org/tags/reviews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reviews</span></a> to <a href="https://fedihum.org/tags/French" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>French</span></a> character vs. narrator <a href="https://fedihum.org/tags/speech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>speech</span></a> in a very short time. </p><p>Will write more, but just quickly some references: </p><p>Conceptual guide: <a href="https://huggingface.co/docs/setfit/v1.0.3/en/conceptual_guides/setfit" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">huggingface.co/docs/setfit/v1.</span><span class="invisible">0.3/en/conceptual_guides/setfit</span></a></p><p>Quickstart: <a href="https://huggingface.co/docs/setfit/v1.0.3/en/quickstart" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">huggingface.co/docs/setfit/v1.</span><span class="invisible">0.3/en/quickstart</span></a></p><p>Reference paper: “Efficient Few-Shot Learning Without Prompts”, 2022, <a href="https://arxiv.org/abs/2209.11055" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2209.11055</span><span class="invisible"></span></a></p>