Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use gilbertoesp/distilroberta-base-mrpc-glue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gilbertoesp/distilroberta-base-mrpc-glue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gilbertoesp/distilroberta-base-mrpc-glue")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gilbertoesp/distilroberta-base-mrpc-glue") model = AutoModelForSequenceClassification.from_pretrained("gilbertoesp/distilroberta-base-mrpc-glue", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8517e6273942a1a82880aed668dddfbbd82049606e481f0f5a863d06d7c56106
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size 328496480
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