Instructions to use andyP/ro-sentiment-02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andyP/ro-sentiment-02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andyP/ro-sentiment-02")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andyP/ro-sentiment-02") model = AutoModelForSequenceClassification.from_pretrained("andyP/ro-sentiment-02") - 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 sha256:8f9f6721b49c269b9a1872893001d0a82e0a5086823deb50fedb3612a243adc2
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size 460279808
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