Instructions to use ArashF/ClinicalBERT_captainA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArashF/ClinicalBERT_captainA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ArashF/ClinicalBERT_captainA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ArashF/ClinicalBERT_captainA") model = AutoModelForSequenceClassification.from_pretrained("ArashF/ClinicalBERT_captainA") - 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 sha256:62593a741a5e98e4003efc7287478698092f3a705b8f227f522ab5b49c792c18
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size 541329680
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