Instructions to use HJOK/task2_deberta_spamMLM_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HJOK/task2_deberta_spamMLM_v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HJOK/task2_deberta_spamMLM_v6")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HJOK/task2_deberta_spamMLM_v6") model = AutoModel.from_pretrained("HJOK/task2_deberta_spamMLM_v6") - 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:b571157b0cabef660b8201b75448af47f65f2feac5785a2e8ba4c7cfd860a088
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size 388238840
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