Text Classification
Transformers
PyTorch
Serbian
gpt2
serbian
sentiment-analysis
wordnet
sentiwordnet
lexicon-induction
Instructions to use Tanor/SRGPTSENTNEG6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tanor/SRGPTSENTNEG6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tanor/SRGPTSENTNEG6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tanor/SRGPTSENTNEG6") model = AutoModelForSequenceClassification.from_pretrained("Tanor/SRGPTSENTNEG6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
a973825 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e00463bc73d74105e915a6aaaa7937072ec0d5114250dc3d303a803ddf3e2ea0
size 4408
|