Instructions to use raruidol/SchemeClassifier-ESP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raruidol/SchemeClassifier-ESP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raruidol/SchemeClassifier-ESP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raruidol/SchemeClassifier-ESP") model = AutoModelForSequenceClassification.from_pretrained("raruidol/SchemeClassifier-ESP") - 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 sha256:180fa0a2d81aed56ab0c9e22b1f151a70056bc4c3a2d71a7c43b5005eb3a9ce3
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size 498658976
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