Instructions to use Mardiyyah/variant-tapt_base-LR_2e-05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mardiyyah/variant-tapt_base-LR_2e-05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Mardiyyah/variant-tapt_base-LR_2e-05")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Mardiyyah/variant-tapt_base-LR_2e-05") model = AutoModelForMaskedLM.from_pretrained("Mardiyyah/variant-tapt_base-LR_2e-05") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcd8732003f49eb34121c7a6ca176a5c57e2afe772b742dd5ce80433e75f38eb
- Size of remote file:
- 5.69 kB
- SHA256:
- ef96eec380f0a52128ed262f55957f9e4395b71a2fdf4ffa38b4d538cf666ce9
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