Instructions to use miladfa7/model_fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miladfa7/model_fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="miladfa7/model_fa")# Load model directly from transformers import AutoTokenizer, TF_AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("miladfa7/model_fa") model = TF_AutoModelForMaskedLM.from_pretrained("miladfa7/model_fa") - Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:2fb4f401473532d81d88ffba541cf441ba55d01320d364c6858bcf76fcbd7328
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size 963211760
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