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
# Load model directly
from transformers import AutoTokenizer, TF_AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("miladfa7/model_fa")
model = TF_AutoModelForMaskedLM.from_pretrained("miladfa7/model_fa")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="miladfa7/model_fa")