Text Classification
Transformers
Safetensors
English
roberta
cross-encoder
sentence-similarity
claim-matching
political-text
distillation
text-embeddings-inference
Instructions to use daxmavy/claim-samepoint-scorer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daxmavy/claim-samepoint-scorer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="daxmavy/claim-samepoint-scorer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("daxmavy/claim-samepoint-scorer") model = AutoModelForSequenceClassification.from_pretrained("daxmavy/claim-samepoint-scorer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "silver_val_spearman": 0.8618, | |
| "base": "roberta-large-mnli", | |
| "TEST_gold": { | |
| "n": 400, | |
| "spearman": 0.7385, | |
| "pearson": 0.7902, | |
| "qwk": 0.7602, | |
| "mae": 0.717 | |
| } | |
| } |