Instructions to use Prem02/lilt-5-class-document-classification_5epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prem02/lilt-5-class-document-classification_5epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Prem02/lilt-5-class-document-classification_5epoch")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Prem02/lilt-5-class-document-classification_5epoch") model = AutoModelForSequenceClassification.from_pretrained("Prem02/lilt-5-class-document-classification_5epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:6f523aadb5e0517b0e1930d242564ed86ec0b277ff47787e46968a071148bcfa
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size 523088196
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