Downloads · 30 days
19
4% of all-time downloads
xlm-roberta-large-squad2-csfever_v2-precision
ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision
xlm-roberta-large-squad2-csfever_v2-precision is a text classification model from ctu-aic. Use it when you need a label for a piece of text. It is set up for sentence-transformers. The card lists the license as cc-by-sa-4.0.
Model for natural language inference trained as a part of bachelor thesis.
All-time downloads
443
Public
Parameters
560M
4.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.2 GB · 50%
Parameter types
How the weights are stored.
F32560M · 100%
Datasets
Model card
From the Hugging Face model README
Model Card for xlm-roberta-large-squad2-csfever_v2-precision
Model Details
Model for natural language inference trained as a part of bachelor thesis.
Uses
Transformers
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision")
tokenizer = AutoTokenizer.from_pretrained("ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision")
Sentence Transformers
from sentence_transformers.cross_encoder import CrossEncoder
model = CrossEncoder('ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision')
scores = model.predict([["My first context.", "My first hypothesis."],
["Second context.", "Hypothesis."]])
- Task
- Text Classification
- Library
- sentence-transformers
- Type
- xlm-roberta
- License
- cc-by-sa-4.0
- Languages
- cs
- Created
- May 10, 2023
- Updated
- Feb 10, 2025