Instructions to use HJOK/task2_deberta_TAPT_withMLM_masking40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HJOK/task2_deberta_TAPT_withMLM_masking40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HJOK/task2_deberta_TAPT_withMLM_masking40")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HJOK/task2_deberta_TAPT_withMLM_masking40") model = AutoModelForMaskedLM.from_pretrained("HJOK/task2_deberta_TAPT_withMLM_masking40") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:9a4c8fd70e28dfa551b1699cf499fb074d9c90ca222111d844d1f858d337038d
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