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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/camembert-base-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Intel/camembert-base-mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋! We've added a new `verifyToken` field to your evaluation results to verify that they are produced by the model evaluator. Accept this PR to ensure that your results remain listed as **verified** on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards).f5ce2f3
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Add evaluation results on the mrpc config of glue (#1)
- Add evaluation results on the mrpc config of glue (7557aa8be1184804e3b6561d3fb7d9925b86b4a9) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>29c1e5f
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upload fp32 model
39ba8cb -
initial commit
11f199d