Instructions to use muhtasham/tiny-mlm-glue-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/tiny-mlm-glue-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="muhtasham/tiny-mlm-glue-mrpc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("muhtasham/tiny-mlm-glue-mrpc") model = AutoModelForMaskedLM.from_pretrained("muhtasham/tiny-mlm-glue-mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#3)
- Adding `safetensors` variant of this model (4e1ff1d8b82ff3492b65ad1180a8151ec035de7b) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>ba980ee
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Librarian Bot: Add base_model information to model (#2)
- Librarian Bot: Add base_model information to model (d0b0ecf0f959bcabef7b013aef5d635a68715b09) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>d6fbb6e
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