Instructions to use Emmytheo/DiagBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emmytheo/DiagBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Emmytheo/DiagBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Emmytheo/DiagBERT") model = AutoModelForSequenceClassification.from_pretrained("Emmytheo/DiagBERT", device_map="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 sha256:480d6c64d8e9bd4976379a1e43b906f0f340c7843bb82aa737da48b4e28f2582
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size 461681820
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