Instructions to use muhtasham/tiny-mlm-snli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/tiny-mlm-snli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="muhtasham/tiny-mlm-snli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("muhtasham/tiny-mlm-snli") model = AutoModelForMaskedLM.from_pretrained("muhtasham/tiny-mlm-snli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (5f6c31c2c350d5d84106c0c6d66a7ff9bba19ffb) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>8339ef9 -
Librarian Bot: Add base_model information to model (#2)
- Librarian Bot: Add base_model information to model (5ef201e94033246bf36e7f207589111f5b78e418) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>23a6454
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update model card README.md
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