Instructions to use sabhashanki/text_classification-roberta_base_sept2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sabhashanki/text_classification-roberta_base_sept2022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sabhashanki/text_classification-roberta_base_sept2022")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sabhashanki/text_classification-roberta_base_sept2022", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:e276b48d8615cdc0112a90eaf656d68675f37f70217c271dd355f91adff84151
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size 498666248
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