Instructions to use AhmadFareedKhan/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AhmadFareedKhan/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AhmadFareedKhan/model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AhmadFareedKhan/model") model = AutoModelForMaskedLM.from_pretrained("AhmadFareedKhan/model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01873e28fc612e64091e23fcf29a78b2ee93eb168b37fca2e107c76c8ad76dc1
- Size of remote file:
- 2.25 GB
- SHA256:
- e43e9eb71c83b4223197a21926d17c119ee3231eedfcf07be0c62b1d4cda9034
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