Text Classification
Transformers
PyTorch
Slovak
roberta
twitter
sentiment-analysis
text-embeddings-inference
Instructions to use kinit/slovakbert-sentiment-twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kinit/slovakbert-sentiment-twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kinit/slovakbert-sentiment-twitter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kinit/slovakbert-sentiment-twitter") model = AutoModelForSequenceClassification.from_pretrained("kinit/slovakbert-sentiment-twitter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a76099b75fd8d88a591501902335f7b10d2b28d786bac9e7136c4ac2f2857d5a
- Size of remote file:
- 499 MB
- SHA256:
- 45ee8e871126efb566345a4aa7f956311e6b3b5d0e23278ccbaa278ccc1c51bf
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