Instructions to use Tural/01_how_to_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tural/01_how_to_train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Tural/01_how_to_train")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Tural/01_how_to_train") model = AutoModel.from_pretrained("Tural/01_how_to_train") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:3bb9aa1be704fa82c5340fda67fb9956812f0dbbd1aa059ad5cac8eea069202c
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size 244843752
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