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ettin-encoder-32m-imdb-sentiment
vumichien/ettin-encoder-32m-imdb-sentiment
ettin-encoder-32m-imdb-sentiment is a text classification model from vumichien. Use it when you need a label for a piece of text. The card lists the license as mit.
jhu-clsp/ettin-encoder-32m (ModernBERT encoder, 8192 context) finetuned for IMDB sentiment (binary) on stanfordnlp/imdb.
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At a glance
- Task
- Text Classification
- License
- mit
- Model type
- modernbert
- Access
- Public
- Created
- Jun 9, 2026
- Updated
- Jun 9, 2026
- SHA
- ee42fad2
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Model card
From the Hugging Face model README
ettin-encoder-32m-imdb-sentiment
jhu-clsp/ettin-encoder-32m (ModernBERT encoder, 8192 context) finetuned for IMDB sentiment (binary) on stanfordnlp/imdb.
Results (held-out test)
| metric | value |
|---|---|
| accuracy | 0.9263 |
| macro-F1 | 0.9263 |
| eval max_length | 512 |
Finetuned on a single RTX 3080 (bf16). See the project for the full training pipeline.
Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
tok = AutoTokenizer.from_pretrained("vumichien/ettin-encoder-32m-imdb-sentiment")
model = AutoModelForSequenceClassification.from_pretrained("vumichien/ettin-encoder-32m-imdb-sentiment")
inputs = tok("your text here", truncation=True, max_length=512, return_tensors="pt")
pred = model(**inputs).logits.argmax(-1).item()
print(model.config.id2label[pred])
- Task
- Text Classification
- Type
- modernbert
- License
- mit
- Languages
- en
- Created
- Jun 9, 2026
- Updated
- Jun 9, 2026