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Sponsored by
PoYo.AI
poltextlab / xlm-roberta-large-manifesto
Model's Last Updated: April 09 2026
text-classification
Introduction of xlm-roberta-large-manifesto
Model Details of xlm-roberta-large-manifesto
xlm-roberta-large-manifesto
Model description
An
xlm-roberta-large
model finetuned on multilingual training data labeled using the
Manifesto Project
's coding scheme.
How to use the model
from transformers import AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large")
pipe = pipeline(
model="poltextlab/xlm-roberta-large-manifesto",
task="text-classification",
tokenizer=tokenizer,
use_fast=False,
token="<your_hf_read_only_token>"
)
text = "We will place an immediate 6-month halt on the finance driven closure of beds and wards, and set up an independent audit of needs and facilities."
pipe(text)
Gated access
Due to the gated access, you must pass the
token
parameter when loading the model. In earlier versions of the Transformers package, you may need to use the
use_auth_token
parameter instead.
Model performance
The model was evaluated on a test set of 305141 examples, which were split in a stratified manner, where for every label, 20% of all occurences were randomly selected.
Metrics (precision, recall and F1-score are weighted macro averages):
| Precision | Recall | F1-Score | Accuracy | Top3_Acc | Top5_Acc |
|---|---|---|---|---|---|
| 0.6495 | 0.6547 | 0.6507 | 0.6547 | 0.8505 | 0.9073 |
Language-specific metrics:
Debugging and issues
This architecture uses the
sentencepiece
tokenizer. In order to run the model before
transformers==4.27
you need to install it manually.
Runs of poltextlab xlm-roberta-large-manifesto on huggingface.co
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More Information About xlm-roberta-large-manifesto huggingface.co Model
Url of xlm-roberta-large-manifesto
xlm-roberta-large-manifesto huggingface.co Url
Provider of xlm-roberta-large-manifesto huggingface.co
Other API from poltextlab
Updated:April 09 2026
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