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:
- 39127df8ee7b1b544964bca2a0e75e3cad533d37931254cc0428e7a8b6648d39
- Size of remote file:
- 3.06 kB
- SHA256:
- 2c0a3980ce92480c4553e03ae848efc7809cdf51c7d2d7fc7f31fbf60dda71e5
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