Feature Extraction
sentence-transformers
Safetensors
Serbian
roberta
sentence-similarity
emotion-detection
serbian
text-embeddings-inference
Instructions to use procesaur/Emo355 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use procesaur/Emo355 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("procesaur/Emo355") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| language: | |
| - sr | |
| license: apache-2.0 | |
| tags: | |
| - sentence-transformers | |
| - feature-extraction | |
| - sentence-similarity | |
| - emotion-detection | |
| - serbian | |
| base_model: jerteh/Jerteh-355 | |
| library_name: sentence-transformers | |
| pipeline_tag: feature-extraction | |
| datasets: | |
| - te-sla/emocije | |
| # EMO355 (Jerteh-355 Emotion & Evocation Embeddings) | |
| <table style="width:100%;height:100%"> | |
| <tr style="width:100%;height:100%"> | |
| <td width=50%> | |
| <h2>Model za Detekciju i Vektorizaciju Emocija na Srpskom Jeziku</h2> | |
| <p><span class="highlight-container"><span class="highlight">355 Miliona Parametara</span></span> zasnovan na <b>jerteh/Jerteh-355</b> model.</p> | |
| <p>Fine-tunovan za regresiju <b>16 dimenzionalnog prostora emocija</b> (8 ispoljenih emocija i 8 evociranih emocija).</p> | |
| <p>Obučen na preko <span class="highlight-container"><span class="highlight">30.000 anotiranih primera</span></span> iz Reddit i Twitter korpusa na srpskom jeziku.</p> | |
| <p>Integrisan kao nativni <b>SentenceTransformer</b> pipeline za jednostavnu inferenciju bez dodatnih klase definicija.</p> | |
| </td> | |
| <td> | |
| <h2>Serbian Emotion and Evocation Vector Embedding Model</h2> | |
| <p><span class="highlight-container"><span class="highlight">355 Million Parameters</span></span> fine-tuned on top of the <b>jerteh/Jerteh-355</b> base.</p> | |
| <p>Designed for <b>16-dimensional emotion vector regression</b> (8 base emotions & 8 evocation emotions).</p> | |
| <p>Trained on over <span class="highlight-container"><span class="highlight">30,000 annotated samples</span></span> from Serbian Reddit and Twitter datasets.</p> | |
| <p>Exported directly as a native <b>SentenceTransformer</b> module for instant inference.</p> | |
| </td> | |
| </tr> | |
| <tr> | |
| <td colspan=2> | |
| <table style='width:100%;font-size:12pt;text-align:right'> | |
| <tr> | |
| <th style='width:30%'><b>Dimenzija / Dimension</b></th> | |
| <th style='width:35%'><b>Bazne Emocije / Base Emotions</b></th> | |
| <th style='width:35%'><b>Evocirane Emocije / Evocation Emotions</b></th> | |
| </tr> | |
| <tr> | |
| <td>0 - 7</td> | |
| <td>Anger, Anticipation, Disgust, Fear, Joy, Sadness, Surprise, Trust</td> | |
| <td>-</td> | |
| </tr> | |
| <tr> | |
| <td>8 - 15</td> | |
| <td>-</td> | |
| <td>Anger, Anticipation, Disgust, Fear, Joy, Sadness, Surprise, Trust</td> | |
| </tr> | |
| </table> | |
| </td> | |
| </tr> | |
| </table> | |
| ## Usage / Upotreba | |
| Model se u potpunosti učitava i koristi preko `sentence_transformers` biblioteke: | |
| ```python | |
| from sentence_transformers import SentenceTransformer | |
| model = SentenceTransformer("procesaur/Emo355") | |
| test_sentences = [ | |
| "Nisam siguran šta će se desiti sutra, ali se nadam najboljem." | |
| "Ovo je nedopustivo! Kakav užasan uspeh i sramota za celu zemlju.", | |
| ] | |
| # Get 16-dimensional emotion vector predictions directly | |
| predictions = model.encode(test_sentences) | |
| LABELS = [ | |
| # 8 Base | |
| "anger", "anticipation", "disgust", "fear", | |
| "joy", "sadness", "surprise", "trust", | |
| # 8 Evocation | |
| "evoc_anger", "evoc_anticipation", "evoc_disgust", "evoc_fear", | |
| "evoc_joy", "evoc_sadness", "evoc_surprise", "evoc_trust" | |
| ] | |
| for text, pred in zip(test_sentences, predictions): | |
| print(f"\nText: {text}") | |
| scores = dict(zip(LABELS, pred.tolist())) | |
| for k, v in scores.items(): | |
| print(f" {k:<20}: {v:.4f}") | |
| ``` | |
| ``` | |
| Text: Nisam siguran šta će se desiti sutra, ali se nadam najboljem. | |
| anger : 0.0026 | |
| anticipation : 0.4779 | |
| disgust : 0.0189 | |
| fear : 0.0056 | |
| joy : 0.2393 | |
| sadness : 0.1392 | |
| surprise : 0.1545 | |
| trust : 0.0844 | |
| evoc_anger : 0.2122 | |
| evoc_anticipation : 0.2360 | |
| evoc_disgust : -0.0765 | |
| evoc_fear : 0.0729 | |
| evoc_joy : 0.3163 | |
| evoc_sadness : 0.1806 | |
| evoc_surprise : 0.1333 | |
| evoc_trust : 0.0023 | |
| Text: Ovo je nedopustivo! Kakav užasan uspeh i sramota za celu zemlju. | |
| anger : 0.5147 | |
| anticipation : 0.0130 | |
| disgust : 0.1701 | |
| fear : 0.0393 | |
| joy : 0.0718 | |
| sadness : 0.0931 | |
| surprise : 0.1342 | |
| trust : 0.0176 | |
| evoc_anger : 0.4144 | |
| evoc_anticipation : 0.0837 | |
| evoc_disgust : -0.0117 | |
| evoc_fear : 0.0504 | |
| evoc_joy : 0.0973 | |
| evoc_sadness : 0.1900 | |
| evoc_surprise : 0.1695 | |
| evoc_trust : 0.0149 | |
| ``` | |
| ```python | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import base64 | |
| from io import BytesIO | |
| def plot_radar_chart(embedding, labels, color="blue", title=""): | |
| plt.rcParams["font.family"] = "Times New Roman" | |
| num_vars = len(embedding) | |
| angles = np.linspace(0, 2 * np.pi, num_vars, endpoint=False).tolist() | |
| angles += angles[:1] # Complete the loop | |
| fig, ax = plt.subplots(figsize=(5, 5), subplot_kw=dict(polar=True)) | |
| ax.set_title(title, fontdict={"fontsize": 20, "fontweight": "bold"}, loc="left") | |
| ax.set_theta_offset(np.pi / 2) | |
| ax.set_theta_direction(-1) | |
| ax.set_xticks(angles[:-1]) | |
| plt.xticks(angles[:-1], labels, size=20) | |
| plt.yticks([0.1, 0.5, 1, 2], ["0.1", "0.5", "1", "2"], color="grey", size=10) | |
| plt.ylim(0, 1) | |
| embedding.append(embedding[0]) | |
| embedding = [0 if x<0 else x for x in embedding] | |
| ax.plot(angles, embedding, linewidth=2, linestyle='solid') | |
| ax.fill(angles, embedding, color=color, alpha=0.25) | |
| plt.legend(loc='upper right', bbox_to_anchor=(0.1, 0.1)) | |
| buffer = BytesIO() | |
| fig.savefig(buffer, format="png") | |
| buffer.seek(0) | |
| img_base64 = base64.b64encode(buffer.read()).decode("utf-8") | |
| return f'<img src="data:image/png;base64,{img_base64}" />' | |
| scores = list(predictions[1].squeeze()) | |
| print(plot_radar_chart(scores[0:8], LABELS[0:8], "blue", "emotion") + plot_radar_chart(scores[8:16], LABELS[8:16], "green", "evocation")) | |
| ``` | |
| <img 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" 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" /> | |
| <div class="inline-flex flex-col avatar-cont"> | |
| <div class="avatar-title">Author</div> | |
| <a href="https://huggingface.co/procesaur"> | |
| <div class="flex"> | |
| <div class="avatar-cover" | |
| style="background-image: url('https://cdn-uploads.huggingface.co/production/uploads/1673534533167-63bc254fb8c61b8aa496a39b.jpeg?w=200&h=200&f=face')"> | |
| </div> | |
| </div> | |
| <div class="avatar-name">Mihailo Škorić</div> | |
| <div class="avatar-handle">@procesaur</div> | |
| </a> | |
| </div> | |
| </div> | |
| <div class="inline-flex flex-col avatar-cont"> | |
| <div class="avatar-title">Data</div> | |
| <a href="https://tesla.rgf.bg.ac.rs"> | |
| <div class="flex"> | |
| <div class="avatar-cover" | |
| style="background-image: url(https://cdn-avatars.huggingface.co/v1/production/uploads/63bc254fb8c61b8aa496a39b/TfM_-sc8-b34ddfhHBGTA.png?w=200&h=200&f=face)"> | |
| </div> | |
| </div> | |
| <div class="avatar-name">TESLA project</div> | |
| <div class="avatar-handle">@te-sla</div> | |
| </a> | |
| </div> | |
| </div> | |
| <div class="inline-flex flex-col avatar-cont"> | |
| <div class="avatar-title">Funding</div> | |
| <a href="https://fondzanauku.gov.rs/"> | |
| <div class="flex"> | |
| <div class="avatar-cover" | |
| style="background-image: url(https://fondzanauku.gov.rs/wp-content/uploads/2019/04/FZN-logo-primary-light-1170x396.png)"> | |
| </div> | |
| </div> | |
| <div class="avatar-name">Fond za Nauku</div> | |
| <div class="avatar-handle">@fondzanauku_rs</div> | |
| </a> | |
| </div> | |
| </div> | |
| ## Cit. | |
| ```bibtex | |
| @inproceedings{vskoric2025embedding, | |
| title={Embedding Text in Emotion and Evocation Vector Spaces}, | |
| author={{\v{S}}kori{\'c}, Mihailo and Stankovi{\'c}, Ranka}, | |
| booktitle={ReLDI 2025 Synergies}, | |
| pages={63-67}, | |
| year={2025} | |
| } | |
| ``` | |
| <br/> | |
| <div id="zastava"> | |
| <div class="grb"> | |
| <img src="https://www.ai.gov.rs/img/logo_60x120-2.png" style="position:relative; left:30px; z-index:10; height:85px"> | |
| </div> | |
| <table width=100% style="border:0px"> | |
| <tr style="background-color:#C6363C;width:100%;border:0px;height:30px"><td style="width:100vw"></td></tr> | |
| <tr style="background-color:#0C4076;width:100%;border:0px;height:30px"><td></td></tr> | |
| <tr style="background-color:#ffffff;width:100%;border:0px;height:30px"><td></td></tr> | |
| </table> | |
| </div> | |
| <table style="width:100%;height:100%"> | |
| <tr style="width:100%;height:100%"> | |
| <td width=50%> | |
| <p>Истраживање jе спроведено уз подршку Фонда за науку Републике Србиjе, #7276, Text Embeddings – Serbian Language Applications – TESLA</p> | |
| </td> | |
| <td> | |
| <p>This research was supported by the Science Fund of the Republic of Serbia, #7276, Text Embeddings - Serbian Language Applications - TESLA</p> | |
| </td> | |
| </tr> | |
| </table> | |
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| .ffeat: { | |
| color:red | |
| } | |
| .cover { | |
| width: 100%; | |
| margin-bottom: 5pt | |
| } | |
| .highlight-container, .highlight { | |
| position: relative; | |
| text-decoration:none | |
| } | |
| .highlight-container { | |
| display: inline-block; | |
| } | |
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| padding-right:50px; | |
| } | |
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| text-align: center; | |
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| font-size: 16px; | |
| font-weight: 800; | |
| } | |
| .avatar-name{ | |
| text-align: center; | |
| font-size: 16px; | |
| font-weight: 800; | |
| } | |
| .avatar-handle{ | |
| text-align: center; | |
| font-size: 14px; | |
| } | |
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| display:DISPLAY_1; | |
| margin-left: auto; | |
| margin-right: auto; | |
| width: 92px; | |
| height:92px; | |
| border-radius: 50%; | |
| background-position: center; | |
| background-size: contain; | |
| background-repeat: no-repeat; | |
| } | |
| .highlight{ | |
| color:white; | |
| text-transform:uppercase; | |
| font-size: 16pt; | |
| } | |
| .highlight-container{ | |
| padding:5px 10px | |
| } | |
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| content: " "; | |
| display: block; | |
| height: 100%; | |
| width: 100%; | |
| margin-left: 0px; | |
| margin-right: 0px; | |
| position: absolute; | |
| background: #e80909; | |
| transform: rotate(2deg); | |
| top: -1px; | |
| left: -1px; | |
| border-radius: 20% 25% 20% 24%; | |
| padding: 10px 18px 18px 10px; | |
| } | |
| div.grb, #zastava>table { | |
| position:absolute; | |
| top:0px; | |
| left: 0px; | |
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| div.grb>img, #zastava>table{ | |
| margin:0px | |
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| #zastava { | |
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| margin-bottom:120px | |
| } | |
| p { | |
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| } | |
| </style> |