Instructions to use miladfa7/12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miladfa7/12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="miladfa7/12")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, TF_AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("miladfa7/12") model = TF_AutoModelForMaskedLM.from_pretrained("miladfa7/12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from miladfa7/12: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
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https://huggingface.co/miladfa7/12/resolve/main/.gitattributes
- Command line
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hf download hf://miladfa7/12/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/miladfa7/12/resolve/main/.gitattributes
391 Bytes
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