Instructions to use anhuu/argument_classification_ibm_es_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhuu/argument_classification_ibm_es_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anhuu/argument_classification_ibm_es_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anhuu/argument_classification_ibm_es_distilbert") model = AutoModelForSequenceClassification.from_pretrained("anhuu/argument_classification_ibm_es_distilbert") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:da89feda11a6f8fb3bf8117ea92a093bbff4744ef7aa15f92f8c52adea5bc149
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size 267832560
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