Instructions to use 0xMaka/based-bert-sc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0xMaka/based-bert-sc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="0xMaka/based-bert-sc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("0xMaka/based-bert-sc") model = AutoModelForSequenceClassification.from_pretrained("0xMaka/based-bert-sc") - Notebooks
- Google Colab
- Kaggle
Commit ·
1f91ae7
1
Parent(s): d904a5f
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (ed9a61767b1e770e874046e327dc1cd30aeea900)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:254bacf5f5eeaa8e8e39e1bfaa4b0b1d3bdcb446b82aec009c0d95d15a23b595
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size 267832560
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