Instructions to use saroyehun/CAP_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saroyehun/CAP_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saroyehun/CAP_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saroyehun/CAP_classifier") model = AutoModelForSequenceClassification.from_pretrained("saroyehun/CAP_classifier") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:0adac6c07f1d3232c5e738722261c608c162416b892a86440b4752158320760b
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size 498675476
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