Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use majdab4/bert-finetuned-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use majdab4/bert-finetuned-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="majdab4/bert-finetuned-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("majdab4/bert-finetuned-mrpc") model = AutoModelForSequenceClassification.from_pretrained("majdab4/bert-finetuned-mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fe6a1af3ff0ff0c92e20925911c9af1622208cd6195f358916cd44143204cbe
- Size of remote file:
- 5.3 kB
- SHA256:
- 68c20f5003b64dbd940f44d0999adfdcc901b92bbf2610d67de653a235964616
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