Text Classification
Transformers
Safetensors
Serbian
roberta
serbian
sentiment-analysis
wordnet
sentiwordnet
lexicon-induction
text-embeddings-inference
Instructions to use Tanor/Jerteh355SENTPOS4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tanor/Jerteh355SENTPOS4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tanor/Jerteh355SENTPOS4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tanor/Jerteh355SENTPOS4") model = AutoModelForSequenceClassification.from_pretrained("Tanor/Jerteh355SENTPOS4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
bd65284 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:085d546616fa6cbb462e24e856fe017a38f1baff425b89bb473643a91aee1544
size 4984
|