Text Ranking
Transformers
PyTorch
Safetensors
French
camembert
text-classification
Text
Sentence Similarity
Sentence-Embedding
camembert-base
Eval Results (legacy)
text-embeddings-inference
Instructions to use dangvantuan/CrossEncoder-camembert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dangvantuan/CrossEncoder-camembert-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dangvantuan/CrossEncoder-camembert-large") model = AutoModelForSequenceClassification.from_pretrained("dangvantuan/CrossEncoder-camembert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| epoch,steps,Pearson_Correlation,Spearman_Correlation | |
| 0,1000,0.883374524387813,0.8878141758572982 | |
| 0,-1,0.8778756238245011,0.8868591218174223 | |
| 1,1000,0.8940448549924146,0.8968016856183934 | |
| 1,-1,0.9029116169622556,0.9012072331426946 | |
| 2,1000,0.9009231458755066,0.9003885599798547 | |
| 2,-1,0.9033158313584775,0.9019981749696708 | |
| 3,1000,0.8998464276084307,0.9020773671951405 | |
| 3,-1,0.8976356278255467,0.8986613274711471 | |
| 4,1000,0.8994414640077576,0.9028956951620126 | |
| 4,-1,0.9034409652005353,0.9014066994725192 | |
| 5,1000,0.9007225884212331,0.8999936913799494 | |
| 5,-1,0.8999793261506176,0.8999581415333522 | |
| 6,1000,0.9021117594963682,0.9008238147286273 | |
| 6,-1,0.9047506140805446,0.904083037618421 | |