Instructions to use anahitapld/dbd_Roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anahitapld/dbd_Roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anahitapld/dbd_Roberta", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anahitapld/dbd_Roberta") model = AutoModelForSequenceClassification.from_pretrained("anahitapld/dbd_Roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): d474067
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e26a8e9c3feb4055a58172945b34b88f7732dfb3ab1d069d631a3b57d0e2205
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size 498660333
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