Instructions to use Varshitha/News_Title_DistilBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Varshitha/News_Title_DistilBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Varshitha/News_Title_DistilBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Varshitha/News_Title_DistilBERT") model = AutoModelForSequenceClassification.from_pretrained("Varshitha/News_Title_DistilBERT", 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 sha256:552abea9e4082199c81e74a70faa20446e54231460e1da5645a1e3ec95a2baee
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size 267832560
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