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", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andyP/ro-sentiment-01") model = AutoModelForSequenceClassification.from_pretrained("andyP/ro-sentiment-01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e92663910315812482a80de8bfe19b38346f746fbb36e1115e3440172a976935
- Size of remote file:
- 921 MB
- SHA256:
- 69a808027505eb7fa7696ef3a77a2667eb18f6f8a73cec823b3dd51fe9688f78
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