Instructions to use Alindstroem89/sentiment_model_testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alindstroem89/sentiment_model_testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alindstroem89/sentiment_model_testing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alindstroem89/sentiment_model_testing") model = AutoModelForSequenceClassification.from_pretrained("Alindstroem89/sentiment_model_testing") - 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 sha256:61afb985df6fbe77fd84138129481f0a4444c02893782984e330f874f43cee4b
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size 267832560
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