Instructions to use andyP/ro-sentiment-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andyP/ro-sentiment-01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andyP/ro-sentiment-01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andyP/ro-sentiment-01") model = AutoModelForSequenceClassification.from_pretrained("andyP/ro-sentiment-01") - 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 sha256:1ecdd110a81181a99e5f1e4f123c0840887d60276351b997fbb45f0b264d6913
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size 460279808
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