Instructions to use rajendrabaskota/bert-base-dataverse-2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rajendrabaskota/bert-base-dataverse-2023 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rajendrabaskota/bert-base-dataverse-2023")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rajendrabaskota/bert-base-dataverse-2023") model = AutoModelForSequenceClassification.from_pretrained("rajendrabaskota/bert-base-dataverse-2023") - 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 sha256:402fb2db0788e62bd1ddde547a64d35b1636eb764bde26b5c22a27d6d7ec3469
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size 438018200
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