Instructions to use Srjnnnn/distilbert-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Srjnnnn/distilbert-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Srjnnnn/distilbert-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Srjnnnn/distilbert-sentiment") model = AutoModelForSequenceClassification.from_pretrained("Srjnnnn/distilbert-sentiment") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (47a77c85f9517bd8263f783c861d25ea11720248)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e4d77536f7ecb8c9995d26d0e831f427358395876731639a05c230f962d7f12f
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size 267844872
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