Instructions to use rd124/learn_finetuning_bert_mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rd124/learn_finetuning_bert_mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rd124/learn_finetuning_bert_mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rd124/learn_finetuning_bert_mrpc") model = AutoModelForSequenceClassification.from_pretrained("rd124/learn_finetuning_bert_mrpc", 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 sha256:92c85fc7567b0885ca9681ca5faba87c6833d47bb266f2d5489758714bc85441
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size 437962832
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