Instructions to use language-ml-lab/classification-azb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use language-ml-lab/classification-azb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="language-ml-lab/classification-azb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/classification-azb") model = AutoModelForSequenceClassification.from_pretrained("language-ml-lab/classification-azb") - 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:ac7a339c913cd62723fd1e19e5952d87b94f6b5fc4577998d02bdd94dfd40cea
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size 373545472
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