Text Classification
Transformers
Safetensors
Turkish
bert
turkish
nlp
siriusai
production-ready
enterprise
Eval Results (legacy)
text-embeddings-inference
Instructions to use hayatiali/emotion-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hayatiali/emotion-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hayatiali/emotion-tr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hayatiali/emotion-tr") model = AutoModelForSequenceClassification.from_pretrained("hayatiali/emotion-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hayatiali/emotion-tr: direct link, hf CLI and curl.
- Browser
- Download file 766 kB
-
https://huggingface.co/hayatiali/emotion-tr/resolve/main/tokenizer.json
- Command line
-
hf download hf://hayatiali/emotion-tr/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hayatiali/emotion-tr/resolve/main/tokenizer.json
766 kB
File too large to display, you can check the raw version instead.