Instructions to use kagented/kcbert-base-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kagented/kcbert-base-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kagented/kcbert-base-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kagented/kcbert-base-finetuned") model = AutoModelForSequenceClassification.from_pretrained("kagented/kcbert-base-finetuned") - 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 sha256:1855e24f6e75e315d54d67afa73b35033b37f97cf9ca60bc710711740b9b16ad
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size 436244580
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