Instructions to use ShengdingHu/mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/mrpc with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShengdingHu/mrpc") model = AutoModelForSeq2SeqLM.from_pretrained("ShengdingHu/mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ce302ff2813e9beb30005e6000c6f2defbda2d7ee8e0485bff14eb4698e9dc6
- Size of remote file:
- 3.18 kB
- SHA256:
- 9080e3e957f11bdaa4d7654c94002e843365d5bff30b5d392cde25f46a81ecf9
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