Instructions to use HJOK/task2_deberta_spamMLM_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HJOK/task2_deberta_spamMLM_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HJOK/task2_deberta_spamMLM_v3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HJOK/task2_deberta_spamMLM_v3") model = AutoModel.from_pretrained("HJOK/task2_deberta_spamMLM_v3") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b21e642bc3632574d4f9d336d2361c9d85c35c2ad1ff87c56c9427df9ea7f631
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size 388238840
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