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") - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking`
#2
by tomaarsen HF Staff - opened
README.md
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---
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pipeline_tag:
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language: fr
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datasets:
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- stsb_multi_mt
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model-index:
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- name: sentence-camembert-base by Van Tuan DANG
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results:
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- task:
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name: Sentence-Embedding
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type: Text Similarity
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dataset:
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name: Text Similarity fr
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type: stsb_multi_mt
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args: fr
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metrics:
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---
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## Model
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---
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pipeline_tag: text-ranking
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language: fr
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datasets:
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- stsb_multi_mt
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model-index:
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- name: sentence-camembert-base by Van Tuan DANG
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results:
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+
- task:
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type: Text Similarity
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name: Sentence-Embedding
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dataset:
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name: Text Similarity fr
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type: stsb_multi_mt
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args: fr
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metrics:
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- type: Pearson_correlation_coefficient
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value: xx.xx
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name: Test Pearson correlation coefficient
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---
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## Model
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