Text Classification
Transformers
PyTorch
English
camembert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Intel/camembert-base-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/camembert-base-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intel/camembert-base-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/camembert-base-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Intel/camembert-base-mrpc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a69d6dcff7c18e484c28f8a15ed31bfb1a8d2e331aa2e7ae2944f455a0c5ad66
- Size of remote file:
- 443 MB
- SHA256:
- cbe2ef6dac491aab0fbad45d47ec0de3911f573c696a001cc62bafdf1bb3045e
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